{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "20d1844d-56a1-4d97-9098-04cd38614402",
   "metadata": {},
   "source": [
    "# Tree-based model forecasting a time series with trend"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6c7e22b9-366f-4754-ba9c-c642f5b6f291",
   "metadata": {},
   "source": [
    "[Feature Engineering for Time Series Forecasting](https://www.trainindata.com/p/feature-engineering-for-forecasting)\n",
    "\n",
    "In this notebook we will show how we can use tree-based models when the time series contains trend. We will introduce some useful transformers in `sktime` that allow us to create a simple forecast to de-trend our data. We will then use this in the context of a recursive forecasting example."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "9a86e7d9-212c-4d82-b896-20a4e078c336",
   "metadata": {},
   "outputs": [],
   "source": [
    "import datetime\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "\n",
    "sns.set_context(\"talk\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c51d42e9-8edd-416d-8ac1-9a77792a9ed8",
   "metadata": {},
   "source": [
    "# Data set synopsis"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6e964ccb-f3fd-4e88-a08a-b82e6fc56074",
   "metadata": {},
   "source": [
    "The air passengers dataset is the monthly totals of international airline passengers, from 1949 to 1960, in units of 1000s. \n",
    "\n",
    "For instructions on how to download, prepare, and store the dataset, refer to notebook number 5, in the folder \"01-Create-Datasets\" from this repo."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "0b41fdf4-7f04-4fa6-ae61-5831d3b36473",
   "metadata": {},
   "outputs": [],
   "source": [
    "data = pd.read_csv(\n",
    "    \"../Datasets/example_air_passengers.csv\",\n",
    "    parse_dates=[\"ds\"],\n",
    "    index_col=[\"ds\"],\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ea3cc441-df77-439b-a88d-e74c334635c3",
   "metadata": {},
   "source": [
    "## Plot the data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "e096e012-faba-477d-b0b3-6d2a2aac6407",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=[10, 5])\n",
    "data.plot(y=\"y\", marker=\".\", legend=None, ax=ax)\n",
    "ax.set_xlabel(\"Time\")\n",
    "ax.set_ylabel(\"Air passengers (1000s)\")\n",
    "ax.set_title(\"Air passenger numbers\")\n",
    "plt.tight_layout()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e9c1ca2a-5674-4f54-9a8c-4c8461310701",
   "metadata": {},
   "source": [
    "# sktime trend forecasters"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8bd2f90b-e5cf-47ab-b1f5-027a406ff75e",
   "metadata": {},
   "source": [
    "We will need the trend during the training period and the forecasting horizon (i.e., the testing period). \n",
    "\n",
    "So we need to be able to extract the trend in the training period and also project it into the future."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "345c911a-2ec1-4e8d-9881-1ec280c792a3",
   "metadata": {},
   "source": [
    "Let's use an `sktime` forecaster to model a polynomial trend:\n",
    "\n",
    "$$T_t = \\beta_0 + \\beta_1t + \\beta_2t^2 + ... + \\beta_dt^d$$\n",
    "\n",
    "where $d$ is the degree of the polynomial and $t$ is time."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "06b6de21-804c-4f1a-b20d-a4b4b2b4f64a",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sktime.forecasting.trend import PolynomialTrendForecaster  # An sktime forecaster.\n",
    "                                                                # Forecasters have a `fit` and `predict` method."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "77566c8b-c406-40d0-9a01-baeb9c9ce7cb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>y</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ds</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1949-01-01</th>\n",
       "      <td>112</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1949-02-01</th>\n",
       "      <td>118</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1949-03-01</th>\n",
       "      <td>132</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1949-04-01</th>\n",
       "      <td>129</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1949-05-01</th>\n",
       "      <td>121</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              y\n",
       "ds             \n",
       "1949-01-01  112\n",
       "1949-02-01  118\n",
       "1949-03-01  132\n",
       "1949-04-01  129\n",
       "1949-05-01  121"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Create a copy of the data\n",
    "df = data.copy().asfreq(\"MS\") # Need to explictly \n",
    "                              # have the `freq` set\n",
    "                              # for PolynomialTrendForecaster\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "2a27f525-400b-43ff-babf-394a0a7e2ba0",
   "metadata": {},
   "outputs": [],
   "source": [
    "trend_forecaster = PolynomialTrendForecaster(degree=1)  # Polynomial degree of `t`\n",
    "\n",
    "# Fit the forecaster on a time series\n",
    "trend_forecaster.fit(y=df[[\"y\"]])\n",
    "\n",
    "# Define the forecasting horizon\n",
    "fh = pd.date_range(\n",
    "                   start=df.index.min(), \n",
    "                   end=df.index.max() + pd.DateOffset(months=12), \n",
    "                   freq=\"MS\"\n",
    "                  )\n",
    "\n",
    "trend = trend_forecaster.predict(fh=fh)  # Forecasting horizon.\n",
    "                                         # Get forecast over this period."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "f9113f87-b1b9-4eed-9425-6449ac162619",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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BEARBEIR44rNYFGelmFzkkOZZLq/kIocjngJ5KsZr/DDwAMZG8X7g20AqcDtQYo2tDXN8LTAu4HEJsLqfcVhj+wjkkaK2xclFD6yJybm6rT9/9MIufvTC0F7CG99aQll+elTHZGdnc8MNN/DPf/6TBx54wN8tcN26dRw6dIif//znQ5qLIAiCIAijw4m2XotFcVYqy26cyzef2obHq7EpWHbjXLFXhCGeFotMIA/4ntb6u1rr5Vrr/wKeBL6glCoEfJc03WGOdwbsx/q9v3GEjPWjtc4d6Adoif6lvXe49dZbqamp4bXXXvNv+/vf/05ubi7ve9/74jgzQRAEQRAGwuny0NzpAozFAmDpwlI+d8lkAGaMzWLpwtK4zS+RiWcF2Wd4+UfI9r8DHwbOCRiTEub41ID9vvP1N46QsSNOSU4qb3xryZCPb2zv5iN/3EC3u/dWSEqSjcc/ex4FmeFe5uDzGQpXXXUVY8aM4bHHHuPSSy/F5XLxxBNP8KEPfYiUlOjnIQiCIAjC6FDX2ls3HBNQJS4vyACgxRLPQl/iKZBrgTOAEyHbfY/z6LVHlNDXZlECrAs5Xwl98W07NuSZDoEkuy1qS0MgZfnp/HjpXO5eUYnDZsPl9bLsxrnMnzC6nl+73c7NN9/Mww8/zG9+8xteeuklGhsb+cQnPjGq8xAEQRAEITpOBCzwL87uLWoVZZnfG9p70FoTkpEgEF+BvAmzUG88cCBgu6/WXw8ctX4/C6jwDVBKjbPGbQk4bguwWCmlQhbqnQu0A/tjOPdRYenCUi6cVkh1Uxdl+Wlx8wjdcsstPPjgg6xcuZJ//vOfTJgwgYsvvjgucxEEQRAEITJ8XfRy0x2kOuz+7UXWnegej5fWLjc56adk0NeIEk8P8pPWn5/ybbBi3j4NdAAbtNY7MEkXn1VK2QOO/TzgBZ4O2PYUZiHeDQHnK8TYNZ7VWp+S9xGKs1JZNDEvrgb6BQsWMGfOHP74xz/y3HPP8bGPfUyuNgVBEAQhwfFnIIdoCF8FGaC+XbrphSNuFWSt9Sal1KOYhh/FmArx+4CrgW9prVutod8EngNeVEo9DswBvoTJRt4bcMqngA3Ao0qpnwENwBcwFwH3jsJLek9zyy238O1vfxtA7BWCIAiCcArgF8gh65DyM5L9v9e39TC1eFSndUoQ11bTwGeAH2FE8f9got/+n9b6p74BWut/A0uBAkwL6aXAfcBXAk9k5SZfh2kM8hXgpxibxhKt9Slnr0g0Pv7xj2Oz2TjzzDOZM2dOvKcjCIIgCMIgnLAW6Y3JCl5U77Db/CK5oT1cAJgQTw8yWuse4LvWz0DjngGeieB8JzEWjU/HYHpCAA6HA6WUVI8FQRAE4RTBV0EeGybJqjAzmaaOHurbRCCHI94VZOEU4S9/+QsAN998c5xnIgiCIAhCJPgEcnF2OIHsS7IQgRyOiCvISqnpwKWYaLZiQGMsDNuB10L8wMJ7hNWrV7Njxw5+/OMf8+EPf5hx48YNfpAgCIIgCHFFa+23WIwNI5B9C/WkghyeAQWyUioV+E/gc8BcoL/oAq2UqgR+DzystZYlke8RfvCDH7Bu3TouvPBCfvGLX8R7OoIgCIIgRECr002XywPAmOy+jb2kgjww/QpkpdQtmAV044E3gLuB9UAV0IgRy/mYhXXnA9cCvwXuVkrdrbX+28hOXRgN1q5dG+8pCIIgCIIQJXWtvbXKMQNVkEUgh2WgCvLvrZ9faa0P9zPmqPXzGnC/UmoicDvwB0AEsiAIgiAIQhzw2StsqrdaHIi/gtzWM6rzOlUYSCBP1lqHtoEeEEtIf00p9ZPhTUsQBEEQBEEYKsetCnJRVgp2W1+HrK+C3NjRjdersYUZczrTb4pFtOI45NjjQz1WEARBEARBGB7+iLcw9gowMW8ALo+mpeuUbDY8ogw75k0ptUgpdaW1oE8QBEEQBOE9S12bk02HT1LXlth5BANFvAEUBdguZKFeX6KJefsGcInW+vqAbY8BH7EeHlBKXTicyrMgCIIgCEKisryihrtXVOKw2XB5vSy7cS5LF5bGe1ph8beZDpNgAabdtFKgtYl6mzYmazSnl/BEU0H+KHDE90ApdZm17Z/APUAJ8K2Yzk4QBEEQBCEBqGtzcveKSpwuL23dbpwuL3evqEzYSvJAGcgASXYb+enGZiFJFn2JRiCXA7sCHn8QqAU+obW+H5N4cX3fwwRBEARBEE5tqpu60Dp4m8Nmo7qpKz4TGoTBLBYgzUIGIhqBnAEEfgsuA17R2v912YnJTBaEUaG8vJzbbrst3tMQBEEQTgMaO7rpdnuDtrm8Xsry0+I0o/7xejV1bQNXkCGwWYhEvYUSjUA+iummh5V3PBuTf+wjD5BLkPcYGzZs4N5776W5uTneUxEEQRCEUaeuzcmLO45z51PbgrbbFCy7cS7FWYmXUdDQ0Y3Ha+qX4ZqE+PBVkGWRXl+iEcj/Aj6vlPoN8BRGDD8fsH8OcCh2UxMSgQ0bNvD9739fBLIgCIJw2rG8ooaLfrKGz/9tE02dLtIcNm5cYG6WTy3OTNgFenWtvYK3v0V60Bv1JhaLvkQjkH8AvAl8ASOGb/clViil0oAbgTUxn6FwSuDxeOjulr9ggiAIwnsD36K8brcXqxiLx6s5szQHIKGzg33+45QkGzlpjn7HSQW5fyIWyFrrk1rry4FcIFtr/YeQIZcAP4rh3IQ4c++99/K1r30NgEmTJqGUQinFoUOHUEpx++238+ijjzJz5kxSUlJYv349ANXV1dx6660UFxeTkpLCvHnz+Mc//hF07ocffhilFBs2bOD222+nqKiIjIwMbrzxRurr64PGaq257777KC0tJT09nSVLlrBjx47ReRMEQRCE05Lqpi4ctmCZlJJkx2stvWpo78Hr1eEOjTvH/RFvqSjVf4c8nwdZKsh9iTgH2YfWujXMti5ga0xmJCQMS5cupaqqir/97W88+OCDFBYWAlBUVATASy+9xOOPP84Xv/hFcnNzKSkpoba2lvPOO4/k5GS++tWvkp+fz7PPPsvNN99Md3d3n0V1X/jCFygoKODee+/l4MGD/PKXv+RLX/oSjz/+uH/M9773Pe677z7e//73c80111BRUcFVV11FT48sKhAEQRBGhrL8NFyevovyZpZkA6aafLKzh4LM/i0M8WKwiDcfPoHc2NEj7aZDiEggK6XSgeuAszFJFelAJ2bh3kbgBa11x0hN8pTE44bWo/GeRS/Z48Ee3fXQvHnzWLRoEX/729/44Ac/SHl5edD+vXv3snPnTqZPn+7f9qlPfQqbzcbmzZvJzc0F4POf/zzXXnstd999N7feeiu2gCvy4uJiVq5c6b/C9Xq9/OpXv6KlpYWcnBzq6+t54IEHuOGGG1ixYoV/3D333MOyZcuG8EYIgiAIwuAUZ6Xy9atmsOwFk3CbkmRj2Y1zmRHQUKO+vTsxBXKLL+Jt4Ln5LBaJLPbjxaCKSSn1SeBnQD7Q36XFSaXUHVrrh2M4t1Ob1qPwP/PiPYtevroN8ibG9JSXXXZZkDjWWrN8+XJuvvlm3G43DQ0N/n3XXHMNq1atYu/evcycOdO//XOf+1zQ7Z+LLrqIBx98kMOHDzNv3jxeeeUVenp6+PKXvxw07vbbbxeBLAiCIIwoc8fn+H9/9Y5LKM1Lx+vV2G0Kj1dT39bNzLFxnGA/HDnZCUBW6sAyrzCo3bQI5EAG9CArpT4E/BU4AHwSmI7JQ7Zbf063tlcBf7bGC6cJkyZNCnpcX19Pc3Mzv/vd7ygqKgr6uf322/1jApkwYULQ47y8PABOnjwJwOHDhwGYNm1a0LiioiL/WEEQBEEYCY42m/YPxVkplOalA2CzqYROf1heUcOGqkYAntxYw/KKmn7H5mck43NVyEK9YAarIH8bWAtcobX2huzrAvYD+5VSfwdeBe7ERMAJ2eNN1TZRyI59D5e0tOBwdK/XfEVuu+02Pv7xj4c9Zs6cOUGP7XZ72HE6tF2RIAiCIIwyxyyBPD4v+P+7oqwUTrR2J5xA9iVv+P4HdXs1d6+o5MJphWHzmu02RX5GCg3tifda4s1gAvkM4CthxHEQWmuvUuox4H9iNrNTHXtSzC0N8WCg1a+hFBUVkZWVhdaaK664IibPP3GieQ/37dsXVG2ur6/3V5kFQRAEYSTwCeRxuSECOUHTH6qbukgKWWjna4fdX0OToiwjkKWCHMxgMW/tRN4+erw1XngPkZGRARBRoxC73c6NN97I448/zp49e/rsD7VXRMIVV1yBw+Hg17/+ddD2X/7yl1GfSxAEQRCiwWexGB8ikP3xaAkmKsvy0+jxBN+BHawddiLbReLJYBXkVcAdSql3tdYv9DdIKfU+4GvAMzGcm5AALFq0CDCpER/96EdxOBxcf/31/Y6///77WbNmDWeddRaf/exnmTlzJg0NDbz77rtUVFRw6NChqJ6/qKiIb3zjG/z4xz/m+uuv59prr6WiooKVK1f6Y+cEQRAEYSTwV5BzgquvvvSHRBOVxVmpfOzsMh5Zb9bvpDpsg7bDLkpQsR9vIvEgXwj8SylVBWzARLt1AymYqvF5wBTgCMaDLLyHWLBgAcuWLeO3v/0tq1atwuv1cvDgwX7Hl5SU8M477/D973+fJ554ghMnTlBYWMi8efO47777hjSH++67j9TUVH7/+9/z6quvcu655/LSSy/xvve9b6gvSxAEQRAGRGvdW0G2Fuj5SFSBDFBsZR9PKkzn8c+dP6A4hsR+LfFEDbYYSimVB9wFfIzwdoujwD+A+7XWTTGfYZxRSjXn5OTk9Gcx8KUs+LyyQmIhn48gCIIwFJo6elj4w5cBeP4rF3LGuN7It39vO8aXHttMbrqDLd+7Kl5TDMu3ntrKExtreN+8En5788JBx//p9QP86IVdzCrJZuVXLxqFGSYOubm5tLS0tGitc0P3DZqDrLU+CXwL+JZSaiwwjt5GIce01sdjPF9BEARBEIS44rNXQF8Pss+W0NzpotvtISUpfCJTPDjUaDKQywvSBxlpkApyeKJqrWaJYRHEgiAIgiC8p/HZK9KT7eSkOYL2+UQlQGN7T5+Ui3hyqME0Np5YkBHReN+Cw6aObjxWExQhCoGslCoGFtG31fQmrXXdyExPEARBEARh9Dl6sjfBIjTyNFAg17d1J4xA7uxxU2dVgicVRiaQfa/Fq+FkZ09Qd73TmUhaTZ8B/By4AtNqOvBbogGtlHoVuENrvX1EZikIgiAIgjCK9JeBDJCZkkSqw4bT5U0oa8Khhk7/7xMjtFj4Yt7AiH0RyIYBBbJS6kzgDYwQfpjeFAsnkIqpJp8PfAhYp5S6SGu9dSQnLAiCIAiCMNIca+lfICulKMpKobqpK6EabBxuNPaKjGS73yc9GHnppt20V8P+ujZmlWSP5BRPGQarIN8PnAAu0Vof62fMQ0qp7wKvAz8Grovh/ARBEARBEEado81OAMbn9tOBLtMI5ESqIB9s7PUfR9oJ95ktR/FagWZff2IrLo9m6cLSkZriKcNgnfQWA78ZQBwDYO3/DXBBpE+slLpUKaX7+ZkZMnaxUupNpVSnUuq4Uup/lFJ97h0opVKUUj9RSh1TSnUppTYopS6PdE5DwWaz4Xa7GSwuT4gPHo8Hm22wr7kgCIIwGtS1Odl0+CR1bc54T2VQ/B7kvPD+Yn/6QyJVkC2LRaT+47o2J3evqPQ/dnk0d6+oPCU+n5FmsAqywtgrIkET7E+OlF8Cm0K2+QW5Umo+8CqwA/g6UAp8A5gMhLZ0exi4yTrnfuA2YKVS6hKt9fohzG1QMjMzOX78OPX19RQWFooYSyCampro7u4mKysr3lMRBEE47VleUcNdyytRCrSGHy+dm7CVSqfL47dOjMsZRCAnZAU5Mv9xdVMXDpsNJ17/NofNRnVT16ANRt7rDCaQ3wG+rJR6YqC8Yysf+cvA20OYw2ta62cG2L8MaAQu1Vq3W893CPiTUuoyrfVqa9s5wEeBr2mtf2ltexTYDvwEuHgIcxuUnJwcOjs7aWxs5OTJkzgcDuz2xMlDPF3xeDx+cSwtqQVBEOJLXZuTu5dX0u3uFWJ3r6jkwmmFCSnEjrf0VlD7S6goyjTzTiSB7PMgl0dYQS7LT8Pl9QZtc3m9lOUnRirHiKI1aG+/uwcrd96DqdjuVkr9USn1X0qpqy17xNXW4z8BuzEL9r4zlDkqpbKUUn3EulIqG7gSeNQnji0eBdqB/wjY9iHABTzk26C1dgJ/Bi5USpUMZW6DYbPZGD9+PBMmTCA7OxuHwzH4QcKI43A4KCwsZPz48RH7sARBEISRobqpi1Ap4qtUJiK+BAulYGxOeAFfmGXSHxLFYtHZ4+ZEq5lLeYQZyMVZqSy7cS4Oe+//k/fdMCchL1pigqsL9r4Ez98Bv5wL3W39Dh2wgqy1flsptQT4FfBp6yfQcuF7RzcCX9VaD6WC/H9AJuBWSq3BxMX5DDFzrTluDJlXj1JqC7AgYPMCYHeIkAZTBVfAfKA29MmVUs2DzC9nkP0AZGRkkJER2RdSEARBEE4vND3uU6dSWWMJ5DFZqTjs4WuJvpSIRKkgH27sjXgrL4zMYgGwdGEpEwvSuel/jRN1wcS8mM8trrQchX0vGmF8YC24I7soi6TV9AbgHKXUFOBsQlpNA+9qrauGMOUe4ClgJdAAzMN4i99USp2ttd4L+Kq+fYStte38gMclmAi6cOOw5i0IgiAIwiiitebnL+0N2qYULLtxbsJWKn0V5P4W6EGvB7mzx0NHt5uMlKiaE8ccn70iPYqINx8LyvLITEmivdvNzmOtTCnKHIkpjg5eDxzdBHtfND8nKoP3KxuUngPTr4YH7+23ihzxp2mJ4KEI4f7Otw5YF7DpOaXUvzDV4v8GPg74vpnhLs+cAfuxfu9vHCFjA+eRO9A8rQpzRFVkQRAEQRB6qWtz8shbh1hX1QjAxdMLeX1vAyU5qQm7QA8GbhLiI7SbXrwF8kErwSKaiDcfNptidkk27xxqYsexVq4/8xSrKTpbYP+rRhDvfxk6G4P3p+bA1CuNKJ56BaTnm+3qB/2eMqpP04pWC6oga607Bz4qcrTWW5VSrwC+aDZfHTzcpVBqwH7f2P7GETJWEARBEIQRxJda4VuYN78sl1vOK+f1vQ2c7HDFeXYDc8zKQB7XTwYyENRxrr69O+KFcSOFr4I8KQp7RSCzx/kEcksspzVyNFbB3lXm5/A68LqD9xfNgulXwfRrTMXYHt0FTCStptOArwKfAGYS0mpaKbUH+BvwPzESy9X0CmSfPSLcArsSAuLgrLH9jSNkrCAIgiAII4QvXzcwtWJXbSu+JNQul4fOHjfpyfGtuvaH32IxQAU51WEnOzWJVqc7IXzIBxt6m4QMhdnjTAe9ncda0Von3gJ3jxuqNxhBvGcVNO4L3m9PhvKLjCCefhXklQ/r6QZrNV0IrAHOAA4A/6Rvq+nzgB8BH1dKXaq1bhjWjEy+cb31+3bADZwFLA+YVzJm0d1jAcdtAb6qlMoMWah3rvWntMAWBEEQhFEgXL5ust1Gj6v3cUNbDxMKEk8ga605GoFABmOzSBSB7FukN2mIAvkMSyA3dvRworW73/SOUaWzybJOrDLWCWdIdTuj2Ngmpl8Dky+FlNh5pwf7Zv4YKAc+oLX+d3+DlFLXY8Tqj4HPRPLESqkirXV9yLYLgSXAIwBa6xbLcnGLUmpZgPC9BZN88WTA4U9hFvl9GtMoBKVUCvCfwFuDdQMUBEEQBCE2lOWn0ePpm1pxxrjeJT317d1MiLChxWjS2NHjr3wP5EEGI5Cr6jviLpC7ejwcbzW2kEibhIQyrTgLh13h8mh2HGuJj0DWGhr2wd6Vxk98ZANoT/CYsfOMIJ5xDZQsgBFq0DaYQL4e+PlA4hhAa/0vpdQvgM9F8dyPK6U6MQv1GoA5wGet3+8NGHePNWatUuohTC7zHcBKrfUrAXN4Wyn1JPCAlXlcBXwSmIjpqCcIgiAIwihQnJXK5y6ezK9W7wcgJcnGshvnMqEgnYxkOx09HhoTJD84FJ+9AiIRyInRLORwU4f/90jbTIeSnGRj+pgsdhxrZcexVi6fNSZW0xsYdw8cWWdsE3tXwcmDwfuTUk11ePrVMO1qyBk/KtMaTCBnAzURnqvGGh8pz2CSKu6wjqvDVKHv1Vof8Q3SWlcopa7AdMN7EGgF/gTcFeactwI/tP7MA7YB12mt34piXoIgCIIgDJOyfFPJzElL4uWvX+KPdCvITKGjqZOG9p54Tq9ffAI5MyWJ7NSBZZI/CznOYv+QlWCRnmwPSteIltkl2ew41srOY62xmlp4Ohpg38tGEFethu6Q58sa12udmHQxJI/+nYbBBPJu4GNKqT9rrXV/g5Rxcn8M2BPpE2utf4VpQBLJ2DeBCyIY5wS+af0IgiAIghAn9tcbV+TMsdlBeceFmckcaeqkIUEryDUne/3Hgy1U84nReL+WQ429C/SGs7jujHHZPLkJdtTGOMlCa6jbaaVOvAjV7xDcdw4Yt7DXOjF2ngnLjiODCeRfAg8D65RSvwY2AEe11t2Wv3c8plnHl4BzMH5fQRAEQRBOc6rqjECeWhy8cMoXjxZvUdkfkUS8+fAJ5LhbLCyBXD5MT/cZ441HvLqpi5YuFzlpjqGfrL0OqtaYCvGBNdB+Ini/Ix2mXNZrncgaJUtHhAzWavpRpVQBxrbwf77tIVcnCpMx/E2t9aMjMUlBEARBEE4t9vcnkC1R2ZigFouDVuU7Lz150LGBFWSvV2Ozxafqued4W9B8hsqskmyUMgXfncdaOX9KQeQHaw3Ht/V6iY9V9B2TU2bFsF0D5ReCIwGSMvohklbTDyqlHgVuxMSt9Wk1DTwbg3g3QRAEQRDeAzhdHo40GV9sH4GcYYRnvH274VheUcPafSZg67mtx7hwWuGAHf98HmSXR9PS5SIvY3BRHWuWV9RQcaQZgH+8c4T5ZblD7lKYmZJEeUEGBxs62HGsZXCB3NMJB1+3UidegraQwDBHhhHCUy4zP4XT4m6diJSIAgi11o3AQ9aPIAiCIAijTF2bk+qmLsry04I8vYnIocYOvJbFdFpxVtC+wgTx7Ybia27iW3Hl9mruXlHJhdMK+32/C7N6BXF9e/eoC+S6Nid3Pl3pf+zyDD7nwZg9LpuDDR39L9RrOQr7XjRe4gNrwe0M3p9XDtOvNV7iCYshafQvGmJB4iV0C4IgCIIQJIjf3NfA3csrSbIr3F7NshvnDrlKOBr47BWZKUmMyQ6+7e/3ICdAc41Aqpu6sIdYJBw2G9VNXf2KzYKMFGwKvNr4kKePyQo7bqSoOHwSV0je9GBzHozZJdk8v62WnbWWQPZ6oXZzr3Xi+LbgA5QdJpxnpU5ce0pViQciZgJZKXURsERr/YNYnVMQBEEQTkeWV9Rw9/JKlIJutxetrTX/brN/uFXCkcYnkKcUZ/ZJVfAJ5Fanmx63l+SkkWn0EC1l+Wm43H2bm5Tl95+FbLcpctOSaersoaqunQumFo70NP109Xj4xUt7Q7MgBp3zYJwxLpt0nJTXb8S94nGSql7uu8AuNQemXmm8xFMvh/T8IT9fohLLCvLFwH8DIpAFQRAEYYj4bvU7Q8RaIMOtEo40/gV6RX1b/xZk9t5yb+zopiRn6GIulhRnpfK+uSWs2HIMpXqbmwz0Hi+vqOFkp1ls+IN/7yQzNWlUKvt1rU6+9vgW9ta1owCHXZGSZMfl9Q46535pPgJ7X2TxzhfYnPIGKcoFWwP2F0wztonp10DZuWAfRsLFKYBYLARBEAQhgahu6sJhs+Gkf4E83CrhSNNfggX0VpABGtp6EkYgA6Qm2wE4e2Iev/n4wgGFpt+zbD2OxLMcC5ZX1PCtp7bhtkzeN8wfx93vmxW9P93rgaObYI/V1rluBwDJAApc2s67eiYZc9/PmZd9BAqmjMwLSlAGFMhKqb9Eca4zhzkXQRAEQTjtKctPoyfEV2pcCMovin70wTkJWz32eDUHGkwubziBnJ2aRLLdRo/Hm3AL9XxxaedOLhj0/Q13ITPSlf26Nid3La/0fw8AVu04zt3vm8WiiXmDn8DZYnKJ974I+16Czsag3d7UfJ7rPIOX3Qt43TuPNtJJ3Wbj9WvGUxzrF5PgDFZBvg1je4rUbd1vtz1BEARBEAanOCuV/1hUyv+9fQSA1CQby5bOpTAjhVv/+g4AS2YmVlOFQGpOdtJj2UPCCWSlFIWZyRxrcSaUQNZas/eEqXxHstiuLD8Nlzc6z/JwqW7q6rP+bVBR3lhldbBbBYfXgdcdvL9olt86sdkzle8+vIm2gDGJbucZKQYTyA3AO8AnIzjXHcC3hz0jQRAEQTjN8d3qn1WSxSP/dQ7FWam0Ol3+/QcbOsiPQ+ZuJPjsFcl2G2V54cViQWaKJZATp1nIsRYn7d1GGM4cO7hALs5KZdmNc7nz6W30eEx98PsfOGNEhWRZfhouT3Atso8o97jgyHpTJd67Chr3B5/EngzlF1mpE1ebWDbf+ducoy76E5XBBPImYI6VgzwgSqmO2ExJEARBEE5vtla3AHDRtCK/4MpOdVCQkUxjRw+HGzsiu6UeB3wCeVJhBkn28AkVhdZCvUSqIO+17BUOu6K8MCOiY5YuLGX6mEze/+u3ADizLHekpgcYUT4xP40DDZ047Aq7TZlFebZ22LLCCOKq1dAdkmGcOQamXWUW2E2+FFL6VvZ9519241y+/fQ2vxBPZDvPSDKYQK4ArlZKFUQgkhWRWzEEQRAEQQiD2+Ol8qgRyPNKc4L2lRdm0NjRw6HGznhMLSIGWqDnw5+FnEACec8JI5CnFGXi6EfYh+OMcTlkpiTR3u1mf107M8dmj9QUcXu81LZ0A5p7z1XckL6VzIpfwHPv0sflWjLfaut8tfndFtlrWrqwlLE5qdz8p7cBuHj66eY+NgwmkH8NvAQ4BxmH1vo+4L5YTEoQBEEQTlf217fT5fIAcGZpbtC+iQXpbDp8kkMNiXvTdn99bwZyf/i66TUmkMXCt0Av2mYfSimmFGeytbrZf3EwIri6qN20inv0/7EkZQvjK0Lqlo50mLzECOJpV0F2yZCfau743guz6pOdFGWlDDD6vcmAAllrfRw4PkpzEQRBEITTnm2WvSI/I5nSEA/vpAJz6/9wY2IKZK11RBXkgozEs1j4BPKMCPzHoUwtGiGB3FJjeYlfhIOvUeZ28olA5ZYzwfISXwPlF4IjNlaIrFQHuekOmjtd1JzsYuGExLTzjCSSgywIgiAICcTWmmbA2CtCu9BNtLyxBxs60Fr32R9v6tu6aXOahW7hmoT48FUkE0Uguz1ef+V7KO2ifRcDwxbIXg/UbDRe4n0vwYntwbuxsdE7jeqCC7npo5+C4tkj1ta5LC+d5s4Wak4mrp1nJOlXICul8rTWJ4dy0uEcKwiCIAinMz6BHGqvgN4KcqvTTXOni7wES7LwCUSlYHJR/wvdfB7kpo4ePF6N3RZfoX+4qTeabsYwBPKBho7oX09XM1S9amUTvwxdTcH7U3Nh6hUw/Ro+8koa79Yp7pgzHcZMi3qe0VCal0bl0Raqm7pG9HkSlYEqyIeUUj8HfhtJigWAUqoI+ArwZSB3+NMTBEEQhNMHp8vD7lpzq//Mspw++ycUpPt/P9jYkXgC2arCluWlk+qw9zvOJ5C9Gk529gR114sHvgSL9GR7H1tLJPgEco/bS83JTiYWDJCCobWJXtu7yojiw+tAe4LHFM3qjWErPQfsSXR0u9n0jxcBmD8hN+o5RktZvvmuSQW5L3cC9wJ3K6VWAi9gMpGrtNbtAEqpLGAacB5wHXAV0ITkIQuCIAhC1OyqbfV3SZsXpoKck+YgPyOZJivqLdG8oZU1xj89WG5uQWavsG9o7467QPYlWEwbk4VtCNXssrw0f3fA/XXtfQWyuweOrOvNJm46ELzfngKTLjJe4mlXQd7EPs9RebQFXwO9cN+NWOO7UKg5KRXkILTW/6uU+jvwReCzwA1YGSJKKV+LFd/xCjgA3AP8XmvdNmIzFgRBEIT3KFurmwEYn5vWr2gsL0inqaOHgw2JVdlbXlHD0xU1AGw40MTyihqWLiwNOzYvPRmbMhXkhrYeGDuaM+3LXksgzxjTv296IJLsNiYVZrDnRBv769q5fNYYaK+H/S8bQbx/NfSESKPMsb0L7CZfAskDZy9vsb4bU4oyyElzDGme0eATyEdPduH16j4XDnVtTqqbuijLT3tP5iQPlmLRCvxYKXU/cA5wCTAbKMKI5XpgO7BWa71phOcqCIIgCO9ptlkV2HD2Ch/lBRlUHGlOqCSLujYnd6+o9Fc4PV7N3SsquXBaYVjxZLcp8jNSaGjvprEj/gv1dg8x4i2QqUUZ2Oq2M2HHati31Sy2C80mHrcwIJv4zKgW2G050gyMfDMSH2V5xmLR4/FS397NmOzez/GhNw7wk1W7SU6y4fFqlt04t9+LoVOViFIstNYaeNv6EQRBEARhBNgywAI9H74ub4mUhVzd1EWSzQb0til22GxUN3X1W10szEymob2b+rb4CmSny+N/L6OOeHN1wcHXYe8q7j/yb7JS6qAuYL8jA6Ys6bVOZI0Z8jx9izcXjJJAHh/gxa5u6vQL5Lo2J/ev3I3bq3F5jHd6oIuhUxWJeRMEQRCEBKDV6eJAvRFqA3lMJ1oL9RKpm15Zfhoujzdom8vrHdCLbCwkbTTEuVlIVX27v/IdUYJF67FeL/GB18BtPLq+I2soZvw5N6KmX22yiZOG768+0eqktsX0bJtfNjq+8/TkJH9r85qTXZxVbraHS7UY7GLoVEQEsiAIgiAkAG/urff/Pre0f4vFJKuC3NLlormzh9z0+CdZFGelctvicv7wull8lppkY9mNcwcUTIWZidEsxOc/zk13hO8Y5/VC7eZeUVy7NXi/skHZeZwoWcLNr+dSpcfxzoVXUJwdO7G42bJXJCfZhtTIZKiU5qdbArn3YqwsPw2PN9g6MtjF0KmICGRBEARBiDPLK2r41lPbALPq/aUdx/v1dAYmJBxs6GDBhPgLZOgV7oWZybzw1YsGrSb6FiE2xlkg+8RneUFGb+OVng44sBb2rDQNO9pPBB+UkgPTroDp18LUyyE9nxyXhwOvrwJMHnQsBbLPXjFnXDbJSbaYnXcwSvPS2FrdHFQ1TrLZ/M7q9GQ7Xq0HvRg6FRGBLAiCIAhxxLfAzRfvphnY0xkc9dbJggSJevPFgU0uyoxILBVk+rrpxc9isbyihr9tOAxA49H9bHl6HfO7NsDBN8ATItwLpvWmTkw4D+zBSRKpDjtleekcaepkf307i6cWxmye7xwwzUOGs4hwKPgW6tU091aQfWLdpuChW89i6pjIPu9TDRHIgiAIghBHqpu6cNhsOKNY4DbRH/WWOAv1fLfhI220EW+LRV1LB0+seJqv2zdxua2CWbZqqAwYYEuCiYut1IlroGDKoOecWpxpBHKULacHikx7amM1m46Y5sRPV9RwzqT8UUuMCJeF7EvTmFWSHdOLgERDBLIgCIIgxJGhLHCbVJDB5gSLevOJqNK89EFGGgqzfBaLHrTWvfaGkcTZClWrYe+L5O15kX/agxsFN+tMPFOvpGDBB2DKZZCWG9XppxZnsnp3XVQC+elN1dy5vJJkuw2PDo5Mq2tzcvcz2/1jXZ6B4/NijU8gH2vu8rfQ9uUxzx+lNI14EROBrJRK0VrHP8hQEARBEDi1mhgUZ6Xy9atmsOyFXQCkRLDAzedDPphASRa9AjmyCnKRZbHo8XhpdbpHrvlF0wHY+xLsXQmH3gKvCwDfs+3xlrLau4BXPAvZlTSDtR+8HIb4nZlaZBqNRCqQ69qcfPvpyn4j06qbuvpEKY9mYoSv3bTLoznR6qQkJ9VvsRitPOZ4EbFAVkpdC5yrtb43YNsXgPuBdKXUE8AntdaumM9SEARBECJkeUUNdy6vBG36MPx4aeI3MZhdkg2YBXprvnEp43IHFpnlhUa4JEoFudvt4USbiSGLVCCHtpuOmUDuaoZDb5hKcdVqOHkoeL/NAZMuwjvtaq5flc6OngKS7TZsSQx7sdmUYiOQ69q6aXW6yE4d+DW9sK3W7z33ESiAh3J3IZaMD/ge1pzsosftpbnTyLzRymOOF9FUkL9JQPy1UmoW8D9AFXAQ+AjwDvDLGM5PEARBECLGt+Ctx90rKu5cnvhNDA43GaE7Pi9tUHEMJnEBoLkzMaLeapudaEvnlUVosSjI6I1Ua2jrZkrR0No8A9BYZSLY9qyEw+tAe4L3pxf2LrCbsgRSsli/v4EdTtP/7MGPnMnZk/KH/R2ZWtz7Gp7fVsvls4r7PWd9Wze/Xr2/z/ZAAezs8cY1MSLVYacoK4X6tm6qmzo51mzuEmSmJA3v8zoFiEYgzwJeCHj8EaALOEdr3aqUegz4JMMQyEqpbwE/AbZqreeH7FsMPAAsBFqBx4G7tNadIeNSgB8AtwB5wFbgHq31q0OdlyAIgnBqEK6jW4/byxPvVnP+lMKEtVwcaTL/lfmagAxGeUDU26HGTubHWSD77BU2BWNzInt/k5Ns5KQ5aOlyRZ9k4XFD9YbebOKGvcH77ckmaWLyEppKLuRg0hTKCjKCPvunNtUAcHZ5Hu+bNy665++HnDQHmSl22rs93PvcDr7/rx1h2zAfb3Hy2Uc30tjRQ4pd4faCx7rCuO+GOf55vrjjOAD56cn84dZFTCxIH/Xvb1leGvVt3dSc7OJkp/mc5pXmYLONgmc8jkQjkPOAhoDHVwCrtdat1uO1wHVDnYhSaizwHaDP/SKl1HzgVWAH8HWgFPgGMBm4PmT4w8BNGKG+H7gNWKmUukRrvX6o8xMEQRASn7L8tKDqsY+fvbSXVIep1oUTLPGm2hLIE/IjE8g56Q7y0h2c7HSxZncd43JT4yr8fQkWJTlpOOyR5/TmpifR0uXiUGMEnt3OJtj/ihHE+18BZ0vw/swxVpX4Wph8CSRnGLvNXytJsjf5q69LF5bS5nSxcnstADfF8LtQ1+aks8dUr7ut72Hoojpf5rXPWvGRsyewdOF4Pvi7dQBBdxBWWQL5mrljObs8P2bzjIbSvHQqjjRTfbI3neO9vkAPohPIDcBEAKVUFnA2cHfAfgdgH8Zc7gc2AjYgN2TfMqARuFRr3W7N4RDwJ6XUZVrr1da2c4CPAl/TWv/S2vYosB1Tmb54GPMTBEEQEpzirFSumTOG57bWogCHXdHjMULE6QovWBKBw9Ziu7IIBTJAVmoSJztd/O/aKv7welVchf9R69b7+AjsIT6WV9RwxGpA8eDL+yjJSQuev9ZQv9sI4r0vQvXboEMufsbO641hG7cAbL3ivK7NyV3LK+nxeLE0q/+zX7O7DqfLS6rDxnXzSob2osNQ3dSF3abwenp9xYGe4ro2J3c+XRnkO35iUzVfunwqCybksvlIM89tPcbiqYXUtTrZdNjEu11zxtiYzTFafJ7yA/Xt7DxmaqIikINZD/w/pdQO4Frr2JUB+6cCtUOZhCVsPwGcRYhFQymVDVwJ/NQnji0eBR4E/gNYbW37EOACHvIN0lo7lVJ/Bn6klCrRWg9pjoIgCMKpgcsSJxdNK+TWxeXc/s/NtHf3elJHMwUgErTWHGmMroJc1+b02xp6PF7wxFf4R5tg4fOK+3zLbq8VXzYpk+LGjb3WieYjwQcmpcHkS61K8dWQ3b81orqpi1AXgE0pqpu6eHrTUcAIz8EW0kVDuMVzgZ7i6qYuNOEX5V0/bxybjzSzcvtxfnDDHF7cabr3Zacmcd7kgpjNMVp8F21bqpvx6XoRyMHcixGiT1iPH9Fa7wRQJrzwRmBNtBOwjv21db4tYXIQ51rz3Bi4UWvdo5TaAiwI2LwA2B0ipMEsHlTAfEJEvFKqeZAp5gz6IgRBEISEQGvNRqvqduUZY5lXmtMnJWA0UwAioaXLRVu3G4CJ+RmDjDb4vNY9nsibi4wk0TYJCWyOUsRJlti3cLVtCwW/3QHukOi67FKYYVWJyy8ER2TPYRIggj/7zh4P22uaeeeQ6Ux306LYVtyLs1L5ymXT+PnLxhMdGtlXlp/W7/exLC+NHz6/k5YuF2/ur+fF7cZeccXsMaPaXjoU32fqm/a4nNSYttFOVCIWyFrrHVZyxQVAi9b69YDduZhq7tohzOFWYDbwwX72++59hKv81gLnh4w92s84gNi48AVBEISEpLqpi/o2E8t/1sQ8irNSWXbjXO58utIvJr/7/tkJUz2GXnsFRF5BLstP61OJjKfwj6pJiNZMcu3ls/oJLk6u4Ezbgd59bgAFZef0pk4UzzZ5fVFSnJXKeZPzeXN/IzbVK/D++187/WNOtDijPu9g/L9Lp/Cr1ftweTQ/uGFOkG2kICOFJJvC5dGkOozoDRTQ500qYP2BRh5df5j1B0wTk3jaK6BvKsn8CbnxmcgoE5FAVkplAHcAb2ut/xW6X2t9EhP5FhWWl/l+4P4BrA++v+3hGpE4A/b7xvY3jpCxAGitcweZYzNSRRYEQTgl2HjYVAazUpKYPiYLgKULSzmzNJfLf/EaADPHZsVtfuHwJVhkpyaRkx7Z7f7irFRuv2I6P31xDxBZc5GRosft5XjrIBnIPZ1w8DUTw7bvJfLbavlyQFG0VadxvOgCpl/0YZh6BWTEpoWxb8HgtXPGctXssXz18S1B+7/z7HYunlEU0/fNYbcxe1wOW6ub/YsvfVTVt/ur2r/48HzOmpQX9NzXnzmO9QcaWbunHoA0h52LpxfFbG5DoSQ3FaXw22FOB3sFmAVxg6K17sAsyCuL8fN/B+gBfjHAGF8D8JQw+1ID9vvG9jeOkLGCIAjCewyfvWLBxDzsAQbUKcWZjLPix3bVtsVlbv3RG/EWmb3Cx6cvmoTvFf7sw/PitkCvtqXLL56CKsgtNfDun+HvH4YHJsE/PgoVj0CbVQ/Ln0znos/xWfU9Fnb/gY1nPwhnfjRm4hh6q/PnTCqgND+dNEdwloDPlhJr5o43jV8qjwYnbfjaNOelO7h27tg+wvzaOWNJCvjeLp6ST6pjOPkHwyclyc6YgHlOjGIh6alMNB7kKiBmdX6lVAlwO/BdYEyA9zgVSFZKlQMt9Nojwi0zLQGOBTyuHWAcIWMFQRCE9xibDhmBfNbEvD77ZpVkc6zFya7a1j774km0EW8+UpLsTCxI51BjJ43R5gjHEJ+9wq68lLRvh60vmQV2xyuDByo7TDi/109cOI10wNP4Lu7ddX3E5HBxe7xUn+zNlx5NW8rc8ebG8/ajLWit8WmcbVab5nmluYRZc0VeRjLTijPYddwspXp9XwPLK2riHkuY5uitp37ln1v48VJP3Oc00kTj+v4d8BmlVKyWUo4BkjHxawcDfs7FNCU5CHwbE9HmxiRc+FFKJWMW3W0J2LwFmKmUCm3vcq7159YYzV0QBEFIMFq6XOytM9XhRWEE8swSY63YfTyxKshDiXjz4evcVlUfp5bT3W3onc/xQNIfeDflizj+eiW8/tNecZyaC3M/DDf9Gb5VBf/5PCz+MhRO859iToCYjCW1LU6/naHcahKy7Ma5pDpsZKUkkeoYOVvK3PG5ADR29FAb4HPeVmNe45ml4Z2bdW1O9gd8li6PSfeoa4u9VzpS6tqcHA6winS7vXGf02gQTQW5DWgC9iilHgH2AZ2hg7TWj0Z4voOY5ItQ7gMygK8Be7XWLUqpV4BblFLLAhIqbgEygScDjn0K00Dk01hxcVZnvf8E3tJaSwVZEAThPcrmIyfRGuw2FdYnOavE3Pbec7wNr1cnTCewI0OsIANMKcrklV11/gYOo8LJw1YM20o49CYXenqC1UThDLPAbsa1UHoO2AeWGr5q6+7jrXS7PaQkxcZScKjRCE27TTHe8kYvXVjKhdMKqW7qGtGuitPGZJKcZKPH7aXyaAvjctPodnv8dy/O7MfHW93URUqSHZfH7d8W71jC6qYukpNs/hzxRJjTaBCNQH444Pev9TNGY/KJB0Vr3QI8E7pdKXU74NZaB+67B1gHrFVKPYTppHcHsFJr/UrAOd9WSj0JPGBZOKow7a8nYjrqCYIgCO9RfE0VZpVkkZHS97+3mWONQG7vdlNzsosJEbZ1Hkl63F5qW4xFIdI204FMKfJVkEdQIHs9UPOusU3sWQX1u4J2u0livWcmDeOWcONH/gvyJ0d1+rlWNdXl0ew93u5/PFwOWZX58bnB3f2Ks0a+66DDbmNWSTZbq5vZfrSFq88Yy67aNn9Fe15pbtjjTAxccDOUeMcSDpbt/F4lGoG8ZMRmMQha6wql1BUYO8aDQCvwJ+CuMMNvBX5o/ZkHbAOu01q/NUrTFQRBEOLARr//OHxL3vKCdFKSbHS7vew63poQAvloc5c/fmxIFWTLYlHX1k2r0xW7phdtx6FqDVStNm2du5qC96cXwLSrYPo1fOq1TF470s1XpkyNWhwDjMlOpSgrhfq2biqPtsRMIB9uMBXkoVx4xIK5441A9nmrt1oL9MblmNcbDp8N5O4VlThsNlxeb9zSSRJ5TqNBNDnIr43kRAKe59J+tr+JyWAe7Hgn8E3rRxAEQTgNcHm8/oSAcP5jgCS7jRljs9hW08Ku2laujnO+LPTaK+w2RUlO9IJjSlFv8kVVXTsLJoR/7YPicZtWzntXwv7VULej75jiM3qtE+MXgc1YIfY99yqA38YwFOaOz2F1jBfq+SrI5VGmg8SK0IV6W60Fev3ZK3yMlg0kGhJxTiNNNBVkP5avtxCo11rHb+msIAiCIADr9jfQ5TLtpM8q718kzrQE8u4EiXrzCeTxuWkk2aPvlpabnkxhZjIN7T1U1XdEJ5C7mqHqVWOb2PcSOJuD9ydnQvlFMPVyUy3Om9jnFMEZyEOv1M6xBHIsF+odboxvBdm3+LChvYfjrU7/Ar3+7BWBjIYNJFoScU4jSVQCWSm1EPgZcCFgB64EViulioF/AD8O9AQLgiAIwkizvKKGbz21zf94fVVjvxFUvoV6u48nRtTbkRiIuMlFmTS0Nw3uQ9YaGvcbL/HeF+HwOtCe4DFj5xkxPPVyKD0b7ANbNo63OP0WkUjbTIfDV23dc7yNHrd32K2VvV7tv/iIVwV5+pgs/0K99VWN/s/nzDLpPXYqELFAVkrNB94AGjAL8f7Tt09rXaeUSsMsiBOBLAiCIIwKdW1O7l5Ridvbm29794pKLpxWGLba5Vuod7ipk45ud9jFfKOJT8QNJeLNx9TiTN452ERVuCQLdw8cWWelTqyCpgPB++0pMOni3mzinOiybWusnGGloCRn+AK5x+Nl74k2f/V1qJxoc9LtNovdygvjU0F22G3MGpvF1poW/vHOEbQ279PcYb42YXSI5l+GH2AabSzANPP4r5D9rwL/EaN5CYIgCMKgVDd14bDZcBJZBNUsKwtZa9hzoo2FQ/XsxogjVhe3oSzQ8+FLstjvqyC318P+l40g3r8aekLsJJljjZd4+jUw+RJIHnqF1dckZGx26rCqvmOyUyjMTKGh3SzUG65APtTQK9yHY/0YLnPG57C1poV3rQWkkwszyIrVQkphRIlGIF+EsVC0Wx7kUI4A42IzLUEQBEEYnLL8NHo8kcdi5aYnU5KTSq3VUS+eAllr7e+iN5z2vVMK05mlDnPFyc14/3QftqMbIaRjHOMWGkE8/WooOdMoxxjgqyAPx14BoJRi7vhs1uypp/JoCx8b5rx8/uNxOWlxbdUcWi0ebIGekDhEI5BTMa2f+yN7mHMRBEEQEoC6Nucps1q9OCuVLy2Zys9f3gtAStLg3dFmjs2itsUZ94V6TR09tHebhhBRWyxcXXDwddi7igt3r+LSFKsP1lFrf3ImTFliRPHUKyFrTOwmHoCval2YGT62LBrmjs9hzZ76mCzU8yVYxGuBno/QSviZESzQExKDaARyFbBogP2XATuHNx1BEAQhniyvqOGu5ZXYbQqvV7Ns6dx+F7wlChMLjUUg3WFn7TcvpTh7YFE/q8RUKuO9UO9IQPveiDKZW4/1eokPvAZuY2/w/Ud+xFuEd/o1lJ+/FCZeAEnDF60DXSwtr6hh5fbjALy08wTLK2qG9V3xicndtcNfqNebYBGfBXo+po/JItlu89/lGI6VRhhdohHIjwHfVUo9AWy2tmkApdQdwDXAV2M7PUEQBGG08C148y1ugoEXvCUKvjbL08dmDSqOAWb6kixq29Bao2JkN4gWn0DOTXeEb/Dh9ULt5l5RXLs1eL+yQdl5MOMaPvd2ES/WZfPN8TP54pSpMZnf8ooa7ny6kiS7wqs1y27svVjyfVe05eTwePWwvyu+BiE9Hi/PbjnKJTOKIjpXOBHfm4EcX0GanGSjODvF79X+/N82nRIXnUJ0AvlnmFi3F4HdGHH8oFKqCBgLvAz8LuYzFARBEEaFcAve7DbV74K3RMGX3jDV6io3GLPGmoV6bVbL6eEkSAzEYFaVI41h/Mc9HXBgLexZabKJ208EH5SSA9OugOnXmii2dNM1MOXIZqg7FrOW03VtTu5aXkmPx0uPlQQXKICrm7oIvawYaHFkJIzNTiUzxU57t4fvPLMdpQgS5eF4elM1dy6vxGG3+UX8jQvGxz0D2Uddm5PaZqf/sdPtPSUuOoXoOun1KKWuBL4MfBxwAtOBfcAvgP/RWnsHOIUgCIKQwIRb8Obs6X/BW6KwP0qBPKkww59P++9tx7hpUWnMxcryipo+rXlDhd7eE8YDPSO1Gd75k6kSH3wDPN3BJyuY1ps6MeG8sNnEviSLsFFvQ6C6qQtbiAIOFMDFWSk4XZEvjoyE+vZuOi017ruLMZCYrGtzcufySlwejcvj8Y+fWZLlP0+8LRbVTV2kOGz++cDwLySE0SGqAEittRt40PoRBEEQ3kMUZ6Xy+Uun8MtX9vm3ebWm3emmOCuOExsAt8fLwQZTLZxaFJlATrLbKMpM5mizkwdf3sf/vLpv0EplNPjsB06X11+NDxJ6Xg9rV69k5s4n+EJyBbNqqqEm4AS2JJi42EqduAYKpgz6nFOKjRCsqu+IiW3EXCwFJ2F0uTx+Aby84qg/JyMj2Y7Hqt4OR/RVN3WRZLMFXaQNJCarm7rwhpTlHDYbFYeb/Y/jXUEuy0/Dq4Pfx+FeSAijQ3wT0gVBEISEYpzV7CE7NYmsVAdHm7v4+ct7+e3NC+M8s/BUn+zyC6pIK8h1bU6Ot5gqbY/HC57Yeq2rm7qwh5Rfc2xdtFU8TXHTm3j3vsilXY1cGvA/cLPOJHX2NaSe8T6Ychmk5Ub1nL4Kcnu3m7q2bsZE4MUeiOKsVKYWZbDnRG9FWmtNm9NNt6uT363dD8At50/gg/NLY5J4UpafhiZyMam1xhMiPns8XrrdHus1pJCeHF+ZU5yVyrIb5/a5myDV48Qnmk56tw4yRANdmDzkCqvaLAiCIJxC7Kw1yQ5nluWydOF4vvb4Vp7fVsvnLxl+84aRwGevSE6yRewlrm7qIsmu8Lh7xVUsb3uX5afR4/YyUR1niW0Ll9sqOJddJK8xws2XzbDHW8pq7wJe8Sxkf/Is/nLeeSyaOLRc5kmFGShlGqDsr2sftkDWWlPXZi4iPn3RJJ7fVktti5M7Ht9Kkl3R7fYyNjuVO6+ZFbNuhMVZqXzjqhn8eOVuYPDIvld21fXZtmRGEc2dLiB+LaZDWbqwlAunFZ4y0YmCIZpv9cMEJ4/7Lo9Dt2mgUSl1j9b6T8ObniAIgjCa7LIE8uySbD5w5nh+v/YAe060cd/zu/jm1TMS7j94n0CeXJjRp2rbH2X5aeiRuO3d1QwHX6e4ajXr01dR6KoN2t2j7bytz+AVzwJWe+dTrXuziVO9DOv5Ux12yvLSOdLUyZo9dUwbkzmsz6nmZBcnLaH5H2eVcdG0Ij75l3fYUtPsH3PlrOKYt+r+zEWTefDlvTjdXu79wBn92l5cHi9PbaqxjplEQ3sPKzYfZV1VI07Lvxxve0UgxredOH9vhMGJ5pt9JXA/kA/8HthjbZ8JfA5oAH4MTAG+CPxeKdWktX46dtMVBEEQRgqttV8gzyzJwm5TfPPqGXz60Y1sONDIJx56G42OqV93uPgE8pQI7RVgxMp33j+b7z27A4Bk++DNRfqlYb9ZXLd3FRxeB9pUiQut3S22HOrHXsJPD03mTe9cOugVwSlJNpLtsbvtnpFsatOPrDvE3zYcHtbnVGk160hz2JlSlEluugO7gkBb8pMVNXz5imkxFX42m2JmSTZbqps51tzV77jVu+toaO9GKbjtgkmkOey8uOM4rU43a/fUA1BemBgVZOHUJBqBfAGQAszVWncGbH9OKfU7YD0wR2t9n1LqD8BW4OuACGRBEIRTgGMtTlqdxh03y8oKnlea47913+XqTQpIlJgqXye3SBfo+bj1/HJ+9eo+Gtp7+MbV0yMXkh4XHFkPeyxR3FQVvN+eDGXn8veGqTzWOJUll1zOklljeePPbwclGWSlJPHgR+eTl54ck6p8XZuTvXVmsaJJdRheLvFWq1I8Z3y2P+ovNdlOR/fIpzHMsgSy72ItHI+/Ww3AxdOKGJ9rLjpuPb+c37/W+3nkpYfJlhaECIlGIH8K+FWIOAZAa92ulHoYEwF3n/X4UeCO2ExTEARBGGl2HTOCJNlu8y/6qj7ZRbLdFtQ8JFFiqrTWUWcgBzJnfA5r99Rz9GT/lUoAOptg38tGEO9/FbpDWiFnjrFi2K6FyZegHek88IOXadEuPjMmu98kg3mlOTF7D6ubunDYFR5vdL7q/rKaK2vMa5w7Phcw9o/Ac/tew0ikMcwuMZEpu/ppBV7b0sXaPcZ//NGzy/zbP3PRJP785gFcVpn73ud2kuqwJ8zdDuHUIhqBXAzYBzlXYLP3Y1GeXxAEQYgjvord1OJMHHZzuz6cAEqUmKoTrd20d5uK91AE8syx2azdU99XiGkN9bst68SLUP02hMb8l8w3EWwzroGxZ4Ktty1yQ1s3LV0u/7xGI8nA+KqDtw32OT3xbjX3PFNJst3mj2lburAUr1f7LRbzrO52o5nG4Lt7cbS5i5ZOFzkhleBH3jqEV0NemoPLZ/XKDo/WBGr4Ho805RCGTjQCdi/wKaXU77XWQfc9lFI5mArznoDNk4C+S0wFQRCEhGTXcfNPu0+ggE8YzeGOJ7cBkGRTCRNT5fMf25RJcYiWWb5K5fFWtMuJOvxWb1vn5sPBg5PSYMoSUymedjVkl/R73n11RnAr1Ru/NtJJBqGfk8Me/nOqa3Oy61grq3fX8ch68xoDm2xcOK2Qjm4PbZbVxtf+eTReg4+ZAd+/XcdbOW9ygf/xUxur+cPrBwBo7Xbz723H/BXi6qYu0hw22kfBBiK894lGIP8AeALYo5T6K0YwA8wAbsNUmP8DQCllAz4KvBWzmQqCIAgjym6rkuoTjj5uWlTGq7vreKHyOOdPyU+YW9b7LSFalp9OqmOgG5zhmZPTw4fsr3G5pwL9wH+iXB3BA7JLezvYTboIHJFVzX22j7K8dNKSe+c10kkGNy0q4+kKk+Twvrnj+nxOT22s5tvLK/tYJXz4xGTNSeOkzEpJYlJIVNpopDFkpiQxId8kcuyq7RXIvgYsvtl7vME+67L8NNyjZAMR3vtE02r6aaXUzZi20neG7K4FPhGQWGEHrgXqYzJLQRAEYUTp7HFzsNEIxNkBFTwfl80cwwuVx9lypAW3x0uS3dZnzGgT9QI9reHEdlMh3rOKyUc38TOHJahcAApKz+oVxWPmmDJwlOyzBPK0Idg+hss5k/JZV9Xob2Pto67NyV0r+hfH0CsmX6g08XRzxudgizA6L9bMKsniSFOn/6INTIU41EYS3P5amnIIsSPaVtOPK6WeAhZhLBQAh4CNWmtPwDgXwXYLQRAEIYHZc7zNLz5mhhHI508xVby2bjc7jrVyZlnuKM4uPPsjWaDn6oKDb/T6iVt7ezoroJM01nrmkjzrWq74wCcgs3jY89p3YugLB4fLfOtz2XOija4ej7+CXd3URag2TrErPBp/1fULl06hOCvVv0BvXoC9YrSZVZLNiztO+G0/ACU5qbgGqRBLUw4hVkS9iM4Swu9YP4IgCMJ7AN9CtTHZKeRnJPfZPz43jYkF6Rxu7GRdVWOCCGRT8e6TgdxyFPa9aATxgdfAHZJSkTsRZlwL06/m3nezeGJLHe/TJVwRA3EMvRXkeApkj7XQ7pxJ+YD5XEOrx8qmeO7zi/ns/22i5mQXx1u78Xg1249ZCRZxFshgLtx8dyx8F0QAGSl2PF4dtkIsTTmEWDCklAmlVDpQQG83PT9a6yPDnZQgCIIwuvgSLGaFqR77WDylwBLIDXz+0imjNbWwtHS6aGg3rZCnFqVDzcbehh3HK4MHKxuUnQfTrzJRbEUz/NaJ6ccOwJa6oErlcGju7PHPa9qYrEFGx57c9GTKC9I51NjJ1upmv0A+2NDrr85MseO2xOXscTl8+sJJ3PuvnTy7+SgfXlTqz2ueZ0W8xQOfzafb7eVQYwdTi7P81o95pTn89/VnSIVYGFEiFsjWwrtvYbKOxw4wNPqVEoIgCEJciUQgnze5gH+8U83GQyfpcXtJToqfD/nA0WNcY3uHy20VzH/8q9AZsuQlNQemXmm8xFMvh/T8sOfxvd5DDR1BloShEljljEcFGUwV+VBjJ1uqm/3b1uw278/scdn88IY5QeLyxoWl3L9qNx09Hn74750A5KY74rq4rTQvjayUJNq63eysbWNiQQYv7jgOwA3zx7NoYl7c5iacHkRTQb4f+AawA9Mdr3FEZiQIgiCMKl6vZvdxX4JF/wLZ50PucnnYWtPM2eXhReeI0XTAH8M27+Cb/D7ZRJHha19VOKN3gV3ZuWAf/L+4mWNNlderYe+JtmFbR3z2ipKcVDJT4tMKYH5ZLs9sORYkkH2NNa6aPaaPuMxJc/CBM8fxxMYaKo6YY+aOz0ENYYFirFBKMbMki3cPnWRXbSt56Q5Odpps6evmDlSjE4TYEM3f3k8Aq7TW143UZARBEITRp+Zkl7/hxuyS/m0BxVmpTCvOZF9dO+urGkdUINe1OaluaGVyVyV5NWuMMG7Y699vB3q0nV0p8zjzso8a+0T+5KifpyAzheKsFOrautl9fPiLD+O5QM+H7zUcbe6irs1JZ7eHA5bF4rKZ4X3WnzhvIk9s7F3AOKUo+lzpWDNzbLZfIDd39gCwcEIuJTkS2yaMPNEI5Dzg2ZGaiCAIghAfNhw0NwST7YrygoGF0flTCthX1866qga+cvm02E+mo5F3X3mc+k3PcqHaRrbqDN6fUcSh/Av5yYGJvO6Zi9OVzk+T57E0f+jZzDNLsqlrC9NRbxDCtWn2Rc9NKx59/7GP2eOySbbb6PF42Vrd4s81LsxMZs648Avv5pXmUpqbRk2zWdD497ePMK80N66Z1767GTuOtbLNSta4bm7/DVoEIZZEI5ArAflmCoIgvIdYXlHD3cvNojaXV/Pc1mMDiqLFUwp4dP1hNh06yfqqBqZYrZSHTGA28d6X0DXvcjYaAuzN2/Ukxiz6AA3jLqUpZw63/mUjHl8mXUiziKEwqySL1/fW+33YkeB73xz23rzdpQtL2W/lD08bE78KckqSnVnjstla3cyW6pNUHjWv65Lpxf3mGte1OTnR5vQ/dnmG/74OF1/Dmvq2bv82EcjCaBGNQP4+8Gel1J+11tUjNSFBEARhdPB1JvPl4GrNoKLo3EnGh+zyav7r4Y1otF8cRkxPJxx83YjifS9B61H/LgV06hTe9M7hVe9C1njmU0cetvWQZOumx/Nun9MNt53wrLGmUrmrthWt9aDe27o2J3c+XUmPx4vT7QXM+7agLJdjLUZkxtNiATC/NIet1c2sr2pk+zEjkJfMLOp3fHVTFylJdlwet39bvNs0zxibhVL487nnjM9mXK7YK4TRIRqBvAg4DOxUSq0ADgKekDFaa/3DWE1OEARBGDmqm7pw2Gw48fq3DSaKXF4vCtCYxXowuKgGoKXGWmD3Ihx8DdzO4P25E2H61TSXXcYF/+ymw+MI2u3V0OPxEo7hthOeaVUqW51ualucg4qw1/bU95mLw2bj7UNN/scRd/cbIeZPyOWR9Yf9i+7sNsVFU/sXyKZNc/Brineb5vTkJAozkqlvN/7j3bVtLK+oSZhW58J7m2gE8r0Bv3+inzEaEIEsCIJwClCWn9ZH6A0miqqbukiyK1ye3qYTYUW11wNHK3o72J0IzSa2m6SJGdfAtKv92cS5wJz163n7QBN2m8JmVRDdAU0uUuwKjSIlKTbthKcUZeKwXtO/tx3jgwvGhz1fXZuT1/bUc++/dvTZ1+Px+vODCzNTyAvTbGU0mV8WnFSxaEIeOemOfkaTkG2a69qcNHb0+B+7Y2CnEYRIiUYgTxp8SOQopc4C7gEWAsVAC7AF+IHWel3I2MXAA9bYVuBx4C6tdWfIuBTgB8AtmEWFW4F7tNavxnLugiAI7wWKs1L55Pnl/PGNAwCkJNkGFUXhxLNfVDtboWq1EcT7XoLOhuCBqbkw7SoTxTblsn6ziVusOK8PLyrl1sUTWfq7dUECWdkUK76wmK4eb0yaRTjsNgozU6htcfKzF/fyi5f39rGNLK+o8dsqoFekuzxeNDA+J5Xjlr1iWpztFQDlBenkpDlo6TLv5VmTBs8NTrQ2zdVNXTjsNrrdkd/hEIRYEbFA1lofjvFzT7Ge/09ALZALfBx4XSl1rdb6ZQCl1HzgVUz+8teBUkwe82Tg+pBzPgzcBPwS2A/cBqxUSl2itV4f4/kLgiD0IVyyQSLjqyqW5aXx9BcWDzrn4qxUvvf+2Xz3WVNFnWqv4+fzaile/js4vA687uADimb1ZhOXnj1oNnGr08Uea6Hb++eNY3ZJTtjK5uyS2LVBrmtzUtdqxG2PxwueYNtIXZuTu5ZXBlfbleKZLy5mfVUjP/z3Lg40dvK3Dea/yfEJ4JNVSjE2O8UvkB964yBTizIHtSckUpvmsvy0Pu164237EE4fhtpqeiowBtiutW4Zyjm01o9jKsGB5/1f4ADwVeBla/MyTFOSS7XW7da4Q8CflFKXaa1XW9vOAT4KfE1r/Utr26PAduAnwMVDmacgCEKkLK+o4e4VlSTZlL+Vb6L7JbcfNf+Enz0pPzJh5HFxy9hqkjMf56yed5hiqzXlCx/2ZCi/0Aji6VdDXnlU89la3YzWYFNwZpkRwSNd2TS2ERuefiqV1U1dfY5Jttvo6vHyqQsns+NoK8s3H/VbLJ7ZcpTFUwvi+tnXtTmpqu9tL93j9p5y9oTirFSWLU0s24dw+hCVQFZKvR/4H6Dc2nQlsFopVQysA+7UWj811MlorTuVUvWYajJKqWzrOX7qE8cWjwIPAv8BrLa2fQhwAQ8FnM+plPoz8COlVInWunaocxMEQRgIXyKE09Ursk4FQVJpCeS54weoyHY2wf5XYM9K2P8qdLfwEeiNYssotqrEV8PkSyFl6BnAFYebAZg+Jous1F7P7EhWNsvy09Ah2wIrlWX5abgG8Gr/v0unsHxzbxJHInhlq5u6SHXYaO/uXUt/KtoTEs32IZw+RCyQlVKXAiswPuFHCFi0p7WuU0pVYSq4UQlkpVQWkAIUAJ8E5mB8xABzrTluDDxGa92jlNoCLAjYvADYHSKkAd7BJAfNx1g5Qp+/eZApxu4+niAI71nCJUJ4vJrqxs6E/U/9ZEcPNSdNdTRIIGsN9XusBXaroPpt0MECsTlnFo80zuIt21k89rXPkZQUm7bKm46cBOjTDnkkKc5KZdkH5/CNp7YB4LCroEplfnoyDpui26NJdZirgsD9bU43qQ5b0MVRvMWoSaUIlv2nqj0hkWwfwulDNP+ifQ+z6O1czAK4e0P2rwduHcIc/orxDQP0AL/H2CqgtzFJuMpvLXB+wOMS4Gg/4wDGDWFugiAIERE2EcKjeWJTNWX56VSfTLwK2PZjpnpsUzC7OKV3gd2eldAcsuwkKc1Uh2dcA9OuotObx4P3mxt4O4+3M680d9jz8Xo1my2BvHDC6AlkgA+dVcbz22pZs7eeJTOKg+wRlUdb6LZSO3710QXMn5Ab9DmW5acRWoKOtxhNxFQKQTiViEYgnw18T2vt7SdEvQYYO4Q5fB/4A2bx3S2YarID6AZ8/7p0hznOGbAf6/f+xhEy1o/WOnegyVkVZqkiC4IwIMVZqdy2uJw/vG4SIWzKZPc+/m4NT206SrrDHtRxLRHYf/AgH7K/xg1plaT/8rPQE3IDLnt87wK7SReDo/ef0XGYxWhHm7t452BTTATy/vp22pxmkd9oVpB9LJlVzJq99VQcaQ5qGLKuyrTinlSYwVVn9P1vLlG9smJPEIShE41AthFegPooxFSAo0JrXYlpY41S6m8YO8XDGE+xb2VESphDUwP2Y/3e3zhCxgqCIMScFIcdMBFbj3/2fO57fif/2laLx6tp6zbCL67eVK3hxA7YuxL2vsgnazZic2jwB08oGL+od4Hd2LkwQFe5cybls2LzUd491MSnL5o87OlVHDbV4/yMZCYWpA/7fNGyeIrpEtjQ3s3+unamjTFe6g0HjEA+39ofjkQVo2JPEIShEY1A3gVcBPyun/3vx1gwhozW2qWUehb4jlIqjV57RLjm6yXAsYDHtQOMI2SsIAhCzNlodVK7dEYxY3JS+eTiclZuPx7kBR11b6rLCYfeMLaJvS9Ca41/lw1o16k0jLmA8vOXmozizOKIT90rkE9G1KJ5MCoC7BXDPddQmFKUSVFWCvVt3aw/0Mi0MVl0uz28a32u50/uXyCDiFFBeC8RjUD+M/ArpdQrwHPWNq2USgfux/iBh+JBDiUNs6guCxPR5gbOApb7BiilkjGL7h4LOG4L8FWlVGbIQr1zrT+HJd4FQRAGwuXxstlq63tWubEHTChIx6Z8jZmtcaPhTW09BvteNgvsDqwFV2fw/twJdE++ik9vKORt7yweu+5iysvDN+0YiLOtY5o6eqiqb2dqceTpFeHyojdZFeSFE3OjnkssUEpx/uQCntt6jHX7G7n1/HK2HGn2L747bxCBLAjCe4doGoX8r1LqAkxjj59j/sX/ByZ9wg78VWv990jPp5Qq0lrXh2zLBj4MVGut66xtrwC3KKWWBQjfW4BM4MmAw5/CNBD5NKZRiK+z3n8Cb2mtpYIsCMKIseNYK10uE6nlE47FWan86MY5fLOfdISY0dNpmnRUrTY/9buC9ysblJ5jFthNvwaKZvLu/kbeWPe2WaA3LntITzulKIOCjGQaO3p45+DJiAWyLy860K972cxif27vaC/QC+T8KUYgbzjYiNerWW/ZK6aPMdVlQRBOD6LK5dFaf0Ip9TTwCWAmptL7NvCo1vrpKJ/7caWUE5OffBwow4jZUkxcnI97rDFrlVIPWfvvAFZqrV8JmNvbSqkngQeUUiVAFSY2biKmo54gCMKI8e5Bcxt+Qn46Y7J7BfCHzypjxeajrKtq5OozxsZugV7rMVMh3rMKDr4Gbmfw/pRsmHq5EcRTr4SM4OqnL/94SlEm6clDi2hTSnFWeR4v7jjBu4eauPncCYMeU9fm9Lds9kXi3b2ikvuXzgPAblOcGYMFf0PF50Nu7nSx63irf4He4imFcZuTIAijT9T/KmqtV2DykIfL3zCWjK9gYuOagQ3ALVrr1wKer0IpdQWmG96DQCumin1XmHPeCvzQ+jMP2AZcp7V+KwbzFQRB6BefT9VnrwjkspnFrKtqZNPhYXh1vV6o3WJ8xHtXmd8DUTazwG7KZeZn/CKwO8KdCejtoDdgg5AIOGdSAS/uOME71gVCf9S1Odl/op2/vnWwTxyeUopXdh0HYFpxJmnJ9mHNaThMyE/3p3Os2V3nj50baIGeIAjvPYad7K6UKgTytNb7ojlOa/0X4C8Rjn0TuCCCcU7gm9aPIAjCqKC1ZqPlnz0njJf3gqmm+ljb4uRgQweTizIjO3F3u/EQ710F+16C9hPB+1NyYNoVMP1aUy1Oj9xHvO1oMwBzhiuQrdd7tLmLo81djM/t669eXlHDnU9X4vJ60aEt64CuHg//3mYE8r66dpZX1MQtCk8pxXmTC3i6ooa/vHUIl0ejFJw3SQSyIJxORNNJ71bgQq31ZwO23Y8lRpVSG4BrtNZtMZ+lIAhCAlNV30FTh0m5PCuMQJ4xJovCzGQa2nt4a3/DwAL55CHY+5IRxYfeAE9IembB1N4YtgnnD1gl7o/mzh6qm6wOeqXDE8izSrLISLbT0ePhiXer+fh5E4I81nVtTu5aXhlUNVZAcpKNJJuio8cTdD5PArRpXjzFCGTfZ3rGuGxy0qN/nwVBOHWJpoL8OWCP74FS6izgW8DrwG7gU8DXMY0/BEEQYkK4tINEw2evyM9IZkpRRp/9Npti8ZRCntt6jLf2N3LL+eW9Oz1uqHnXauv8Yt8FdrYkmLjYiOJpV0Ph1GHPd/vRVsBEHM8uGdoCPR9Jdhvj89LYe6Kd363dzx9erwpqhuIT4oFkpiTx4Efnk5eezIkWJ1/55+b4RuGFEGqnmF+WG5d5CIIQP6IRyFMJTo34MNAEXKW17lFKaeA/EIEsCEKM+Pvbh7n3uR0k2214tE6oLnSB+P3HE/vP771gqhUfVtWAp+Mk9gOvGkG8/2XoOhk8OL3AZBJPv9r4iVOHV+UNvcjwJTNMzE8nI2V4Tru6NicHrPQJl0fj8gRXgMvy03CFtuD2eplXmkNxVip1bU6SbCpIIMe7TfO43DQKMhw0drgAePzdahZOyEvI754gCCNDNP8y5gAtAY8vB17RWvvu/23EpFsIgiAMm+1Hm/nOiu1owOUxt+Hjfeu9P3wC+ez+soS15pKCZj5j/zeXezdj+9le0MHWAsbM6W3rPH4R2Ia+UC1QEL+5r4G7l1disylcHi8LynJ51/JLH2nqHLbft7qpC4fdhtvb+3oCK8DFWalkpzpo7nKRkmRDKYKi7hKxTXNdm5PmTn97wT6iXxCE9z7RCOTjwDQwGcaYRh1/DdifCXj6HiYIghA5dW1O3trXyA/+vYPQ9VzxvvUejh1HW/w2grMnBQhkdw8cWW9ZJ1YxtukA9/hsrBpISoVJl8D0q4x1IrcsJvNZXlHDXcsrUQp63GZRXOD7+M6h3mq1Vw//oqMsPw1vyMq7wArwiVYnzV2mEvuDG85gycziPs+VaG2aq5u6SE6y+XOtITG/e4IgjBzRCOTVwBeVUk3AEsy/uc8H7J8BHI3h3ARBOM3wpR2ExoD5iPet91CWV9Tw7ae3+R8frj7C/KZVpq1z1Wrobg0a35JUyPPOedSOuZg7Pvc5SE6P6Xzq2pzcvbySbnf49y8cwxV+xVmp/HjpXO54citamxzjwAqwr7tgcpKNGxeUkpxk6/c8iSI+y/LT0PQv+gVBeO8TjUD+HrAYeMB6fJ/W+hCAUioJuAmItlmIIAgC4GsgsY0eT68wsStT5dRAkm2EutANkbo2J3ev2MYk7xEut2/mMnsFC1/cByqk7j1ugYlhm341b9YXc/c/NpN8wsYXVQqxfiXVTV3YbNFlLMdC+C1dWMrW6mYeWX+Y6WMygywbm6tNxXru+Jx+xXGiUZyVyrIbE8v2IQjC6BJNq+kapdQZwGygRWt9JGB3OvBZYGuM5ycIwmlCdWNn0EItgPTkJM4uz2P1nnrmjs9JjEVS7m4Tv7bpOV6xvUBpSn3Qbk9SGvaplxs/8bSrIGusf9/5OT1+68M/3znCdfNKYiq6yvLT6AmpHifZwG6zkWw3Qm/pgvEs33w05sLv0pnFPLL+MHtPtNPR7fYv/vNVkBecYkkQiWb7EARhdIm21bQHqAyzvRV4NlaTEgTh9ONkVw8h+hiX18vVc8ayek89O4614nR5SHXEoctae51p1LFnJVStAVcHxWACfYEaXchqzwJeV4tY9tXPU5yXG/Y0+RnJjMtJ5Wizk2Uv7OL+VbtjmsxRnJXKpMIM9tW147Arv90hVOjdfuX0mAu/RRPzUMrkGFccOclF04pwe7xsq2kGYMGEvh0GE51Esn0IgjC6RNMoZCowVWu9KmDbucB3gHzgEa31H2M/RUEQTgee2XwMMNm8mclJ/urmkhnF3Gk1mth0+KS/K92IojUcr7TaOq+Eo5tCBigoPZt/Oefym6PT2KvLSEmym2psP+IYjC3jeGs3gLGSxDgdwenycKSpE4AvXzaNj55TFpQW4WMkhF92qoNZY7PZWdvKuwebuGhaEbuPt+F0mYr2ggm5MX0+QRCEkSSaCvJPMEJ4FfhbTK/EpFd0Af+rlKrTWj8T60kKgvDe5niLk1XbTavh771/NvNKc4Oqm7NLstlxrJV1VQ0jJ5A7m+Dg63BgDex7GVpD1hwnZ8HUy6yGHVdBRiGP/XEDe3Qjl88s5sc3DW5VqG7qItluo6ufSLThUnH4pH+B3ifOm0h+RvKwzxkN50zKZ2dtK28fNLF3m6ubARiTnUJJjlRiBUE4dYhGIJ8FBFaIPwZkY+Le9gJrga8Cz8RmaoIgnC78/e3DuL2agoxkbj53AilJwTaK8ycXsONYK+urGmP3pF4v1G4xMWz7X4Fjm0GHpD/klfsX2DHxAkjqFZwtXS5//vF/nF0WkcAty09DDxCJNlzeqmoAzAXFaItjMAL54XWH2FLdTLfbw+YjZoHegrL+G6gIgiAkItEI5CLgWMDja4C3tNbbAZRS/wTuieHcBEE4Deh2e/jHO2bNbzhxDLB4agEPvXmQrTUttHe7yRxq97eeTlMl3vOCsU+0Hw/eb0+Bieeb7nXTr4HC6cbzEYbX99bj9mqSk2xcGGFV29cU4xtPbsWrwRbSNGO4vLnfXEBcOG0UbChh8DVK6XZ72X60hS3WAr2FE3PjMh9BEIShEs3/Mh1ALoBSyg5cCPwqYH8XpqIsCIIQMc9vq6WhvYckm+Lj504MO+bs8nzsNoXHq3n3YBNLZhZH/gQtNZaX+EU4+Bq4ncH786cYMTz1MpiwOOJs4tW76wBT3Y6mXfPShaW0O91877kdOOyK6+aWRHzsQLR0uai0FsQtnlIQk3NGS1FWCpMKMzjY0MFLO05woMG0oD4VF+gJgnB6E41A3gHcqpR6FPgwxnv8csD+iUB9uAMFQYgPgS2HE3E1fl2rk9+u2Q/ANXPGMrYfn2pWqoO543PYUt3M+gONAwtkrweOVlgd7F6EEyHBO8oOE84zonjGtVA4Lep5uz1e1uwxAvmKWVGIdYvrzxzHvf/aQbdbs66qgctmjonq+HCf64YDjXg1OOyKcyb10/J6FDi7PI+DDR089ra5K5BkU8wZlxO3+QiCIAyFaATyTzFRbnXW483AGwH7rwIqYjQvQRCGyfKKmj6NDhIiR9gitGteeUHGgOMXTylgS3Uz6yyfbRDOVtO5bu+LJo6tM2RMai5Mu9KI4imXQfrwBOTm6maaO0375Kiq2RZ5GcmcNTGfdw418cquuqgEcn+f67r95jUvmJBHevIQLSgx4JxJBTyxsYa2bjcAs0qySUuOQzSfIAjCMIimUcjzSqnLgBuAFuA32lptopQqAGqAR0dkloIgREVdm9NEo7m9ODECNJZxYsPF1xI5sKX0Q28e4NbFE/ud3/lTCvjd2ip2HGulpdNFTtcRyzqxCg6/BV538AFFM83iuunXQOk5YI+daHxl1wkAZo7NojRvaO2iL5tVzDuHmli9qw79QR3RIra6Nid3Wa2kQz/XNy2BHKkfeqQ4pzz44kPi3QRBOBWJtlHI68DrYbY3AktjNSlBEIbH7to2XCEd1WIZJ9Yfobf++7N4VDd1+ZtsRDq/s0qzuCBpF5dQgffXd0HX4eAB9mQov7A3hi1/UkxeQzhe3WVupF0+BHuFjytmFXP/yt0cb3Wy41grc8YPbkOoburCG5KCkWSzsfVIC1X1xu97wdT4+I99lOWnMSY7hRNW3vOUooHvDAiCICQi8bsPJwjCiKC15i9vHiCkKV1M48TCsbyihruXV5JkV7g9mqUL+7Y09lk8ctMc/gYSA86vs8lEsO1dRdr+V/h7UovZ3mX+cKYUkDr7OlMpnnwppGQN/zUMYkupONzE/rp2AC6fFZ13OJApRZlMLEjncGMnq3fXRSSQT7R04fIEf7KdPW62HjVxaunJduaV5g55TrFAKUVJdqpfIC97YTdZqY6EsvcIgiAMRlQCWSmVB3wKOBfIA2whQ7TW+vIYzU0QhCHwyLpDrN0b7MFNsloOj1T1uK7Nyd0rKnG6vWA5HR57pxogrMXjj68f8B+bkWLH49VmfpkpULe7d4Fd9YY+2cSV3nJWexfyimch+z2Tee2yy2PyuvyvwdW/LWV5RQ3femqb/5gDde0sHGJCg1KKy2YW89e3DvHqrhN85fKBFwu2Ol3c9/wu61hIttvodnvxavjN6irAdNL719ZjcRWjdW1Oth9r9T/udnsTyt4jCIIQCdG0mp4IvAWMw3iQs4EmeoVyAyYKThCEOPHanjq/iPrg/HG0d7t5ZVcdF04tGFHRVN3URZJtYA+t1rCtupmak108vtGI529cNZ3F5dlM6txCXvWv4Ver4OSh4AOT0mDypRwuvJhPvpnLoZ7eSmuWLSlmthHzGmxAryC325T//D7/r9vbW8H9zrPbuXhG0ZCf/4pZY/jrW4fYWtPCKztPMK8sJ+y56tqcfPPJrRxrcZLqsPG3T52LUoqXdxzn9wEXG14df695dVMXqQ477d29nvDRsPcIgiDEkmgqyPdhcpAvByoxaRYfATZgGoR8FLgkxvMTBCFC/v72Yb6zYjsaY+89d1IBdpvilV11bDrcjNvjJckeetMnNpTlp/lbHPdHt9vLZ/5vEwAFtHBT9k6+WP9P1IY10NMWPDh7fO8Cu0kXgyONtDYnx19fQ6CAjaVtpCw/LWjRIEBnt4emjm42HT7J6t0n+rzG4Qq/s8vzSbEruj2aLz5WgbIahwRezCyvqOHbT2/zWyuum1vCWQEL4f667lDQvOItRsvy03B7I7DPCIIgJDDR/G95OfAnrfUa8Nsblda6U2t9D0Y0/yTWExQEYXDqWp1895nt/r+YGvj+v3cwq8R4ctu63WytaRmx5y/OSuWS6UWA6Q6X6rBx8zllpDpsZKbYsaGZqY7wedszPO34Hu+mfIG7e36N2vVcrzgevwiWfAc+9wZ8bQe8/0Ejkh1p/udYtnRuUKX6vhvmxEwIFmelsnTBuKBtGvjMo5v46B/X89s1VX2OGa7wa+7qwWVVpLvdXpwuY0eoazPNTHxV60Df8QuVtf79ZflpfRr9xVuMFmelsuzGuaQ6bGSlJJHqsI2ovUcQBGEkiKaCXABst353WX8G/iv8MvDfsZiUIAjR8cc3DuANWZXnsNno8WimFGVQVd/BG/vqWTRx5DqadfZ4ANPw494PnEFxKnxrajU9O1eSdeRV0jqPBY/XKXRPvJS8+deb1ImswRe8LV1YSmleOv/xh/UATIpxQkKqw/yTeGZpDrctLudrT2wFCBKoyUk2Uuy9i/iGI/yqm7pITrIFLVgMrABXN3X1OSZwv0+Mhi4sjLcYXbqwlAunFSZ0kxpBEISBiEYg1wO++3ptgBMoD9ifTLBgFgRhFNh+tIVH3jrUZ7uvknjRtCJLIDdw+xXTR2QObo+XLdXNFHOSz2RUUfzvn8OBNeS6OoPG1ehCXvEsZLV3AZvtc3j1w1dBlOLpnEn5zC7JZmdtK89tOcaiibHrGrfTWlx23pQCJhRkkJFsp8MS/gBZKUk8+NH55KUnx0T4leWnEZLaFlQBDmf7CK0QJ6oY9Ql4QRCEU5FoW02fCSaqQin1DvAFpdRzGKvGZ4HdsZ+iIAjhqGtzsud4m7kF79UUZibT5nSTHFLdvGhaIQ+vO8SW6mZanS6yUx2xm0RPJxx+i+Ztq1jBKmak1sCWwAEKys6B6dfwimcBX3q1C4fdjksNr9L5gfnj2FnbyvOVtXz3/bNj4q32ejU7a41Anl2STVl+Gp4Q9eryeplXGn4h3VAozkrlx0vn8o0nt+LVxp4S+L64PNovoNMcdjQ67PsmYlQQBCG2RCOQnwXuUEqlaa27gB8ALwIHrf0aaRYiCKOCL3PY7dW4vRq7gkf+6xyKslL6VBLPm1yAw65weTTrqxq5+oyxw3vylpreDnYHXwe3k0Kg0NKoOjkLNfVymHEtTL0SMkzjiiuA1xcN3oQjEt43t4T7V+6mob2Htw82cUEMuscdaer0Jy+cMS5n1OwLSxeW+r3HClgyo7f5yPPbjC0lN83BH29dRHlhhghhQRCEUSCaVtO/A34X8Hi1Umox8DHAA6zQWq+L/RQFQQgkKHPYQilFUVZK2EpiRkoSCyfk8fbBJt7c1xC9QPZ64ViFlU28Co5XBu9XNg6lzuTZtpm4Jl7CN/7r42APX6WOVaWzLD+dhRNyqTjSzHNbjsVEIO+w7BVpDjuTCo23ebTsCzcuGM+Pnt9JR4+HVTuO87FzJgDwr621ALz/zBLOmRTfDnmCIAinE8PqpKe1fhd4N0ZzEQQhAqqbunDYbP5mFmBE3UDRXhdNK+Ttg028sa8+sifpboOqNaZSvO9F6Ag5LjUXpl1pYtimXs4nf7OFw+5O7pkxq19xHGs+cOY4Ko4083zlMZYuHM+kouFVV3ccMykfs0qysAckZYyGfSEt2c6Vs8fwzJZjPLflGB87ZwIHGzqoPGrm9IEzx4/o8wuCIAjBDEkgK6XSgYnWw8Na686BxguCEDsiWbgVykXTivjZS3s51NjJyspaFpXn9RV9Jw9b1omVcOhN8PQE7y+cbgTx9Gug7Fywm38+Gtq7Odxo/glYODF32K8vUq6bV8K9/9pJe7eH2/76Dpq+GcLR4PMfnzFu8JbPI8H1Z47jmS3H2HCwkbpWJ//aauwVJTmpnDWC6SOCIAhCX6JtNT0b+BnGTmi3NnuUUq8A39Jab+/3YEEQYkJxViqfPL+cP75hOqilJA2eMztnfA5pDhtdLi+3P77FNKT44GyWFtUa28SeVVC/K/ggWxJMvMB4iaddBQVTwp674vBJwLQ+Hm1xaVOme1yXK3xr6GjwWSzOGJcd0zlGykXTishJc9DS5eLf22p5zhLI759Xgm2QLoWCIAhCbImm1fQCYC2Qick83mntOgO4CrhAKXWJ1npLhOc7G7gNWIKpRjcC64DvaK33h4xdDDwALARagceBu0Ir10qpFMziwVswLbC3AvdorV+N9HUKwqmATzBNKcrgH589b1BB2NjRTbfbSxadXOTdxuX2CpY8txVUSAe79AIjhqdfA1OWQOrggnfTESOQzxifTarDPsjo2FHd1IXDbotJF7m6Nif1bd1A/CrIyUk2rp0zln++W80fXz/A8VbTDOT6M8cNcqQgCIIQa6KpIP8U0+P1bK11ReAOpdRCYLU15soIz/dt4ALgSWAbMBb4ErBZKXWO1nqXde75wKuYmLmvA6XAN4DJwPUh53wYuAn4JbAfI8BXWsJ9fcSvVBASnPVVDQBcMWvM4GKwsYrut1fwd8dyzlK7cShP8P7iM3rbOpeeBbboRO7mw80ALJowujaAcJaSSLrI1bX1TdLwVY+TbIrpYzNjP9kIuf7Mcfzz3Wq/OC7NS2Pu+PgIdkEQhNOZaATyecCDoeIYQGtdoZT6LfDVKM73C+BmrbXf6KiUehzTsvrbGHELsAxTXb5Ua91ujTsE/EkpdZnWerW17Rzgo8DXtNa/tLY9iun+9xPg4ijmJggJS6vT5V+8df6UMMkGHhdUv91rnWjcRxlQZsWwdesk1nvP4HW1kC989gsUlg69eYjL42VrTTMAC0fZJ+vLEL7jia1owG5TYa0mgYL42c3H+Mmq3STZTQXe51n2NQiZWpxJStLoVcFDOW9yAZkpdtq7zUVMbYuTFZuPDtlXLQiCIAyNaASyEzg+wP5jQN++qP0QLhJOa71PKbUDmAWglMrGVKR/6hPHFo8CDwL/galcA3wI0wL7oYDzOZVSfwZ+pJQq0VrXRjo/4fQjtLIYrtKYCLxzoAmvNtXOs8utLnKdTbD/FSOK978CzpbggzKKOVRwIfdXlfO6Zw6dpPK998+isHTysOay81ir3+KwcJQryGBi2LYfbeEvbx1iQl5aHyG5vKKGu5abWLpAK4bb6svt8yz7EiziZa/w0djR7fdTA3i8eli+akEQBGFoRCOQXwA+APy2n/0fAFYOZzJKKQWMwXiHAeZi5rgxcJzWukcptQVYELB5AbA7REgDvAMoYD7QRyArpZoHmZbc3zwNeGpjNXev2I7dZsTT4ikFrKtqJCXJhturh5WOEGvWH2gENO8vaSHj3V+b5Inqt0EHJ1tQciZMs6wT4xZQbrNxT1MnG37zJp2dLg41Rh8+E3rR8PpeE/82NjuVsTnxEXDvmzeOv7x1iIONnVQ3dVKWn+6f613LK4OEcSg+z/LOOC/Q81Hd1EVKko3OgPbWQ/VVC4IgCEMnGoH8dWCVUupJzII5X1vpWcC3gHzg5mHO5+PAeOAe63GJ9We4ym8tcH7A4xLgaD/jAGSlixCWujYnd1pd6bB0yWt7jcfX5TEbEqKK53LC4Tc5s/IvvJnyNqWNDfBKwP6kNLOwbvrVZqFddt+vfFl+Ol9aMpX7nt/FP9+p5guXTh1Q2AYK4jf3NQR1lVu6YDz/fLfaP255RU1cLiLml+WSm+6gudPF2r313HKeSaCsburCG9IqOhSn20N+usN/sRBvgVyWn9ZnzpH4qgVBEITYEo1ArsO0k15I35bSvgyiOlME9qO11hE9h1JqJqY6/Sbwf9Zm3/8K3WEOcQbs943tbxwhYwMnmDvIvJqRKvJ7mkMNHXi8Awup0ajihbV0tB23solfhANrwdXBB6D3b1x2KcywsonLLwTH4ELq4+dO5PevHaChvZtfvLSHj5wzIayNxNfO2mZT9Lg9eDRojb9ByWPvVPvHenX8LiLsNsUl04t4dssx1u6u8wvkgoxkXJ7gzzXJBnabDY/VojvNYeNwU28lfVacBfJotbcWBEEQBiYagfwoRiDHHKXUWOB54CTwYa3994p9nuaUMIelEux57hpgHEThjxZOL/bXtQ/6xe7xjGwVb3lFDXc+XYlNeZnDQX44u4ZZbeuhdkvQOI1ik3car+mFfOn/fYmUcXNARZeRm5Zs5/9dMpn7nt/FE5tqeL6yFo8OtpFEYk8IJZ5WgMtmFvPslmO8VdWA0+Uh1WHnzf0N/v2ZKXa/VebCaYVUHD7Jl/+xmVanh+8+a+LbJ+Snk506Ol0AB2K02lsLgiAI/ROxQNZa3zYSE1BK5WC8yznABVrrwIWAPntESZ8DzbZjIWP7G0fIWEHws7zCOHNsCjKSk/z2gacrjvoF4qKJYTrPxYj6hnrWrHiI+1QFS+xbKFItsDdgQEo2TL0cpl/D/fvG84eNrZw/uYCU8XOH/JxXzR7Lfc+bxiAdPX1tJNVN0V9PxtMKcPG0IpQCp8vL2webuHhaIY+sOwTA9fNKuO2CSUFi85o5JXz6ohb+d22V/7VOLcqIy9zDMRrtrQVBEIT+GVKr6VihlEoF/gVMBy7XWu8JGbIdcANnAcsDjkvGLLp7LGDsFuCrSqnMkIV651p/bkUQQth+tIWNVie433xsAWNy0vxC6vYrp/O7Nft5eN1hNhxoZPvRFubEKpO2scqyTqyi4PA6fm13Be0+oMeRMec6xiz6AExcDHZT2XzllbUALA4X7xYF9e3dpCT132SjLC+NnpDqsc+ekGzv9SAv33w0IawAeRnJLCjLpeJIM2t215FkU+yrM/8MfO6SKWE/ty9cOoVH1x3yXyC8vq8hbj5qQRAEIbGIm0BWStkxHfHOB27QWm8IHaO1brHaWN+ilFoWIHxvwXT0ezJg+FOYBiKfxjQK8XXW+0/gLa21VJCFPviqjNPHZHLt3BICPfTFWanc877ZrKtqZO+Jdu5avo3/vv4MJhSkRy8E3T1wZL0RxftehMbeZpE2oEfbeds7i9XeBaz2LuCwHsvT55zPmIn5/nE7j7VQVd8B9JN/HAWDNdk40tTpt52kJ9vx6l57QuCt/9uvnJ4wVoAlM4qpONLM2j11HG02VeGzJub1e1HT5fL0iX5LiMWYgiAIQtyJZwX555houH8B+UqpTwTsa9daP2P9fg+mBfVapdRDmE56dwArtdb+Nfxa67d9CRtKqRKgCvgkpo31bSP8WoRTkMb2bp7daq6bPrm4HBXGy+uw2/j+B+bwsT9toPJoKx9/6G2UIrLYt44G2PeyySauWg3drUG7PelFVBdcyAMHJvKaZy5OWzppDpu/ScRdT1fy/RvOYEpxJm/ua+DbT2/zH3ugvoOzyvMZKr4mG996aps/E/i775/tF4Z/23AYgFklWdz3wblBAjhQPCaSFWDJzGJ+/vJeDjV2+lMpbrugvN/x1U1dpDrstHe7/dskUk0QBEGA+Ark+daf19O3ZfRh4Bnwd+m7AtMN70GgFfgTcFeYc94K/ND6Mw/Twvo6rfVbMZ67kGAMpanHQ28epMftJTPFzo0Lxvc7bkpxBjZlkhp8FcewlUat4cQOI4j3vgg179JnXWvJmTD9WtZ45/OFNV66T5rzFmYm88LnF9PQ3kNDm5PP/a2CvXXt3PLnd9Ba47VO7+N7z23n0plFwxJySxeWMq80h/f/6k2cbi/Nncbm0dTRwwuVZinAbYvLWTTKHfKGyuyS7KAudABdPZ5+x5flp+H2BttIJFJNEARBgDgKZK31pVGMfRO4IIJxTuCb1o9wmrC8oqZPLNZg1d0nN1bzv2urAOhyeVm1/Xi/x1Q3dZHmsPu9qhBQaUzVcPCNXlHcWhN8sCMdplzWm02cNZa6Nieff2ANzt7CJa1dbtKS7SyamEddm5Mkm8JtRZGFI1aVzqnFWdxy/kT+9MZB/vrWQT514SSe3FhNj8dLVmoS15956sSHN3R009UTLHi/++x2LpkR/kJCItUEQRCE/ojrIj1BGC51bU7uXlGJ0+X15/MO5iP1RZj5GKydb1l+Gp6A8u0Ymrhab2HOaw/BkTfAHZL4kDPByia+GiZeCI7gc5oGFsGHpCT1Cl6fIG8LuPUfSiwrnZ++aDKPrDtMQ3sPj79bzWPvHAHgpoWlpCefOv9EVDd14UhSeFy9b+5gFxISqSYIgiCEI9ImHpmYFIhfa61/OaIzEoQoqG7qIslmA8KnMfjwWTBy0x3c9++dfSqzAwmp4oxk/vdSzY61T3GpqmCO7ZDZccAaoGxQdq4RxNOvgaKZA2YTv7a3rk9CRKDgLctPw+UdOEEilpXOMdmp3LRoPP94p5ofv7ALpzW3j587ISbnHy3K8tP6OFoiuZBIJB+1IAiCkBhEJJC11u1KqQKgfdDBwmlJqAd4KJ7goVCWn0aPO9hn2u32BIkinwVDYewU4egjpLrb4cAayzrxEks66lhi793dZc8ibdZVRhBPvQLSB18wV9fm5Ler9/PIerMAzqYgPTkJd4jg7e/W/0hWOj938RT+8U61XxwrBZVHW5g2JiumzzOSFGelsmypWCYEQRCE4RPN/dMNmDzih0ZoLsIpyvKKGu5aXkmSXeH2aK6dM5aV248HVTtHKlu2OCuVs8rzWVfV6N+Wm55MbloyYFkwllf6hZ+Pa+eMYc3uehyBFVn3CXjbZBNz6A3w9AQ/WeF0KlLO4ScHJnEgdTZv3HA1qQ47kfDkxmruWl7pr1zPGpvJnz55Nidau8MK3v5u/Y+U2EtPsfsXIoJZEHgqRp6JZUIQBEGIBdEI5DuB1Uqpt4GHtdaDdecVTgPq2px8++ltuDwan2X2mS0mOm3AxIcY4fVq9lsNIS6aVsib+xqoa+vm4XUH+ezFU6hu7AzyDwNkJNv59EVT+P71s2jas56yhjfI2PADeG5n8MltSTDxAlMlnn41FEyhtNXJpvtX4+7SrNp+nA8OkH7hq6LvONrCfz+3I+ju/8GGTpKTbAMmRIzmrX9f5FlnuIWIp5jIFMuEIAiCMFyiEci/AE5iKsgPKKWqgM6QMVprfXmsJickPtWNnXj6SVrwMZJCa3N1M3Vt3QB8/wNn8Mi6Qzyy/jAPvryXSQWZvLTzOC5P7/yy6OQyvZ3Zbz9F2sFXKe5qCj5hWr7lJb7apE+kBjeZKM5O5aozxvBC5XH+tuFwvwJ5eUUNdy6vxOPVYd8fhz2xxGdZfhrekAsJiTwTBEEQTleiEciTMUtgjliPx8R+OsKpRrPT1SeRIZRu98gJrRd3mLzeGWOymFyUydevmsFTm2ro6PHw2f/biAYmquNcYd/MlfYtLGInDuWBwGJx8WxLFF8LpWeBbWDbxMfPncgLlcfZePgkyytq+lTHfSkZoQvxAkk08SmRZ4IgCILQS8QCWWtdPoLzEE5RnrPsFArITEnC5fWydMF4llccpcfjxash1aE42dETc1+o1sbmAHDNnLGAWaDn8bg4R+3hcnsFl9s2M9UW0mXcngzlF/VaJ/ImRvW8508uoPD/t3fnYVJVd/7H39+qXtn3TRAERWFABE2MxjUuQNzQLCYumWxj9omTjFGjyRhjNM9vMr+Y0TiJMZlxSWIiNqgRcQEdxQU1jSyyo+xLA01DQ9Nb1Zk/7q3uW9XVW3VVV3X35/U89RR976lzT9Whur51+nvO6VPAvsO13PzkCsIhi8uz3lZ+lMQMpMKw4TAK83I3+FT+roiIiKfrLHIqOafsUDULVu4C4PZLJ3HKmIENgdWNF03k7Q/LuemJ5RyqjjD7V6/RuyAvrZP21uyqZGu5l+XzyeMLYeVcwsueZmneS/S3I3Fl64qHkH/SLC8oHn8+FPZJ+br7jtQ07DpXF3HUReLXUR7cu4DaSHyAbCFj3jfP5GhtNKeDT+XvioiIKECWDvjj0q3URRyDehdw7elj41Z0GNa3iEtPHkVFVR23z19F1NGw8UVaJu1F6lj5xgK+n/ccFxa8z8SHNwKOweANZwPvR8fyUnQGS+xUfv2NrzCsX6/UrxfgTWgLxW1pHMyzfnldWcPxPoVh6qOOu6+cyuSR/ZNVJyIiIjmm2QDZzBbj5RzPdM7V+z+3RpP0eoja+mjDjmuf+8iYZpc7mzSyH/lhi5sol/Kkvapy2PAirH8ONi7i6ppD3v/gWKpvXhEcdy7Lik/nxmXDKQ8Npc78dIY0BcfgTWhL3GikJuKNDEeijj+8/iEAV04/hus+NjanR4xFRESkqZZGkMfjhR4W+FlLuwkAz63axd7KGsIh47qPNZ/DO2ZQMSEzgv912jxBzTnYt97frON52PoWuPhNQdZEj2XQybMYPn02HHsG5BczHXjiosxtVNIwoa1kJTWRKM7BcYN7MaxvEc+t3MW2cm/r6W9/4ngmDE09lUNERESyo9kAOXFSnibpZU62dqHriAdf9fZZPm/iEEYNaD7YHda3iHuumsq/PrGcqPN2j2txglp9DWx53QuI1y+EA5vjz+cVs3PIx7h/+/G8WH8KexnIL8adzKcnjGly3Uy+drEJbfNKd3DPc2tZt+cwr6wr43evea/LhZOGKTgWERHpotKag2xmhc65mnTW2d0l7kL3ySkjWNBJu9Cl6pcvruf9nYcAeG3DfkpKt7fYxqtmjKYu4rj5yRU4B2edMCS+QOUe2PACbHgeNr0MtQk7mvc7hqrjLmTH0HOpH3sWV/ymlNpI4xJqtz+1inNOHNrpXyaG9S3ihnPG88q6vbz5wX6+/9fl7D/i7b731bPHd2pbREREJH3SEiCb2anAV4CrwZsnJa1LtgvdvE7chS4VZZXV3L94Y8PPtZFom9o4Z/oofvbsag5V1/PMezv5yoRDjaPEO0sTSpu3HvHEmTBxFiU7BvDD+asIm1FV+26TPJ9s7vhmZtx2ySQuvW9JQ3BswI4DVeitICIi0jWlHCCb2SDgOuDLwFS8uGB9mtrVI6zYdjBu8loynRH8tSelY+Oew022bm5LGwuj1fzr2A/I2/Q8MxevgEX74wsU9IXjP+Etw3b8RdBnaEPbbp33csMXhmSyvenGsH6FhM0aXhcH3DZ/FWdP7PxRbREREem4dgfIZjYTLyi+HCjAC4p/AjzpnHs/vc3rvpxrXO2gJTX1kYwGfyWl25vsntZSusT6PZVNjjUboFZs89Im1i2ED1/lC5Ea739cLL4eeBycONsbKT72TMgraHhoWWU1H+49QknpjibBcV4IQhbKmU03tpUfpaggxJFmln0TERGRrqVNAbKZjcMLiv8RGA3sA+YC1wC3OedKMtXA7urxd7bxxiZvFDU/bBTlhZPuQpcfDrGvsiYjk/bKKqv54byVVNdFqaZtKR0vrN4DeJPtght/DOtbBNEI7Cj1V51YCHtWxT3WWZhlNokFNdMY9dE5fPnyi8CsyTVKSrdz85MrqI86XJIB9rxwiJIc2nQjtrxbULZHtUVERCR1LQbIZnYtXmB8LhAB/gZ8B1gAjAWuzXQDu6PSLeXc8bQ32H75tFHcfumkuAD4xosm8vfNB7hp7nIO10S45L4l9C7Ioz7Nk/a2lR/1l2BrVBdxvLZhH+MG924SfG4/UMWbH3hB/X98ZhrHDu7NsX0iDN3zOsy/28sprtoXf5HigV7KxImzsAkXsOjV3Tz08iZGr83jS5c3riEYU1ZZza0lK+NSTwzIzwtRGJi4mEubbjQs+5YwEp/twF1ERERS09oI8qPAB8CNwJ+dcw2Jo5Zk5K8nau+SbHPf3cZN/moOAB8ZN7DJkmTD+hYxe+pIDtfUc9Ncr+zhdO5C5xszsJijdfHrCkeiju//dTlF+SFwcPdVjQH5vNIdOAcn967g8ppnCP/v87B5CUTr4iseepI/wW42jP4IhBv/m805JcyvX97E9gNH+dPSrVz0D8PjnktsDeGgPoV5/PJzpzCwV0FOjBgnE1v2LdeX5xMREZHWtRYg1wDjgCuAA2ZW4pxrGsH0UO3N3y2rrOaWkpVxaQM/W7CGmVNGJA2oxg/tk75d6JJYsnFfQ1uK88PURSLE0n2r6wIpFxMGMLRiBYPf+h0vFCxlYmQHPB+oKJQP487yJthNnAmDjmv2micM78sxA4rYUVHNHc+8z0+fXR33uo0ZVBy3hBt46Qonj+6f80FnptdeFhERkc7RWoA8ksaVKh4FHjCzucDDwM4Mty2nJcvfvaVkJSeN7Ntsbuw7H5Y32aK4pYB3zKBiwmbUpbILXSsOVddx94K1AFxw0jC+ef7xHKiq5buPL+NITYR+HOGc0AousmUMeuDrWE0F1wCE/Ap6DfFHiWfC+POhqF+brltWWc2eQ95S2XURR13ExY2KV9dG44J2h1O6goiIiHSqFgNk51wFcD9wv5nNwFvr+PPAF4G9eOsR5E4yaCfaVn6UcEKaSW19lEt+tYT8cAgzuCeQnuCc479f39yknpYC3mF9i7j7qqkNayUDfOu84zscLJZVVnPn06vZd7iG4vwwP50zhVEDitm/dTXXu79xTv7f+UhoHfnmp1/4W7+siR7Lit5ncPU1/wTHzIBQuN3X3lZ+lML8EPXNrPjwzArve9fg3gX85vpTGetv4SwiIiLSWdq8zJtzrhQoNbPvAZ/CC5bPAx4ys+/irWoxr6cs9ZYsfxe8bwyxFIFbSxpHRp/4+3be3XIAiF+1orXR0atmjObMCUP41G/eYMeBoyzbVtGhdpeUbueWkpXU1kcppppvj9nNqDdfgY0vMnj/Rm4JNZatcfm8EZ3MougMFkems5MhXDl5FFePmZ7y9ZOu+BBp/JLwzHIvQL78lFF8ZNyglK8jIiIikqp2r4PsbyX9J+BPCcu/3QnckUqdXdEr6/YSbUgFCPlBn8Xlz9bWR1myYR8njezLT/xVKy6bNoofJaxa0ZoR/Yv40SWT+PpjpSxeW8a7m8s5LYXgsezQUR4qWciX3Lucm7+c00LrKNgZiU+W6TOco/62zuXDz+TL/70ibue6Bat2c2tldcqjurEVH24tWdmwvvGc6aMY1reI9XsqWbvbW2f5smmjUqpfREREpKM6FMw65zYDPzazfwNiG4h0e2WV1dz17GoALp48nK+dO4HighBXPfCGtxiezwG3PLmCusB6vqeNbbpqRVvM/IcRTBvdn+XbD3LX31bzo0snM6Yt6QeROtj6JqxbSL/3n2VB3ua40/UuRPXw6fSZdJGXTzzyFIpDIY4H/r7lAL0KwhypbXxSBeGOTxKMrfjw/b8u57UN+3hn8wGiUdcwejx6YDHTxwxIuX4RERGRjkjLaK9zzgEL/Vu3VlZZzY1/fo9D1fUM7JXPPVdNZXCfQoC4tXBrIlHyQ3CkNn5FhnueW8PsqclXrWiJmfGDWSdx7UNLeW/7Qa77/VKcf83ElTP27tnB4VULGbnnFYq2vAI1hwCIXXGXG8TiyHRejZ5MaXgKz15/KX2amSSYuK10uiYJDutbxG2XTGLWva+xae8RXli9uyFAvmzaKC0jKCIiIlnTI9Ih0iW2w1tswtzsKSMagmNouhZu6ZYDfOOPpXHLunVkmbYThvchZBB1cDS4DNvxgxlWtQnWL2T/smcYXL6coRYf2O7vN4lHyyfzYuRU1jCW3gX51FnLOdCZ3gDjpBH9uOCkYSxaW8bt81ex73At4G2eIiIiIpItCpDbIBJ1rNxewQ/mrohbpq1k2Q5uvGhik00+Yj/PGDuQgnCoIdcWOjYCu638KEX5YapqIxRSyxmh95kVWs6A334PjvirPwAYVLlClkSnsCg6g9fcKewqG4gDRvYrZPENZ7D/SG2bcqAzvQHGN86bwKK1ZQ3BsQGrdx5k0si2LRsnIiIikm4KkNugqjbCZfe/3uR4a6PBw/oWcc9V6RuBHZtfwad5kbPzSzkrtIpi84JKjnh3Nb2P4S+HJrMoMoO3opOooaBJHeVVdfQqDDNuyMA2XzeTG2AcO7gXZjSMsjvgtvmrOHviUC3vJiIiIlmhALkNXDPH2zIa3KER2GgUdi6D9Qth/UKG7F7BnYFl2CLOWF84mUnnfAYmzuLBFWH+46UNLVaZjkl26bSt/ChFeaGGlBFI726BIiIiIu2lALkd8sOGYRTmtW80uF0jsDWH4YOX/aD4BThSFn++qD/VY89nQc007lw7ioO1fXlq3McZlF/Af736KgBhM3oVhKmNRIg64raqTtcku3QZM6iYhHmAOddGERER6VmyGiCb2Ujgu8DpwGlAH+B859wrScpejrfO8mSgDPg98DPnXH1CuQHA/wOuBHoBS4HvOefe62h7wyGj5JtnNruVdMoObIH1z3tB8ebXIFIbf37IRDjhYjhxNow5naJwPpdHojx43xIqdldyS8lKCsIhqmojDO1byOM3fIyKqjrGDCpmyYZ9GZtklw6x3QJzuY0iIiLSs2R7BPlE4GZgI7ACODNZITObDcwHFgPfAaYCPwaG+D/HyoWAZ/3zvwD2A98EXjGzU51zm1JppAFF+SHuvnIqk0emYWftaAS2vwvrn/MC47LV8edDeTD24zBxlrc28eAJTarIC4e484opfPa3b7J656GG45dMGcGEoX0afs70JLt06AptFBERkZ7DXOLftzvz4mZ9gQLn3H4zmwPMI8kIspm9D1QDH3XORfxjdwG3Aic55zb4xz4L/AW40jk33z82FFgPPOOc+0IKbazo07df/0079nQscKs+CJsWw7qFsOEFOFoef754kBcMT5wJEz4BRa0H4mWV1Xzs7kUEd24uyg/x6g/OV5ApIiIi0oIBAwZw8ODBg865AYnnsjqC7JyrbK2MmU3GS6v4Wiw49j0A3AZ8Cvi5f+zTeBsnPxW4xl4z+yvweTPLd87Vtbed4ZClFnDu39SYOrHldYjWx58fNtkPimfD6NMgFG5X9dvKj1JcEOZITePLogluIiIiIh2T7RSLtpju378bPOic22lm2wPnY2X/7poOi78N3AAcD6wJnjCzilau3/acikg9bFvamDqxb338+XABjDu7MXVi4Ng2V53MmEHFRKKZ2elOREREpKfqCgHySP9+V5Jzu4BRCWUXN1MOv+yaJOdTV1XupU6sXwgbXoTqivjzvYfBxIu9oHj8+VDYJ2k1qcj0TnciIiIiPVFXCJBjw6E1Sc5V461UESzbXLlgXQ2S5Z0E+SPMjaPIkTpvlHjTy15gvHMZTVZKHjHVS5uYOAtGTYdQiEzRBDcRERGR9OoKAfJR/74wybmiwPlY2ebKkVC2HRws/4uXOrFxEdQcij+dVwTHnevnE8+C/sekdpkUZXKnOxEREZGepisEyLH0iJE0TbMYCbyRUHYkTcWO7UypBdWVMO+G+GPDp8CE870VJ449A/KV9ysiIiLSHXSFAPk9//40oDR20MxGAaMD52NlzzQzS5iodzpwGG+95RQ4yCuG8efBibPghJnQL1kcLiIiIiJdXc4HyM65981sLXCDmf0+sNTbN4Ao8GSg+Fy8pd6uwNtYBDMbAnwGeCqVJd4AKOgNP/gACnq1XlZEREREurSsB8hmdrv/z0n+/fVmdhZQ4Zy73z92E/A08LyZ/QWYAnwb+K1zLriW2lzgLeARM/sFsA9vJ70Q3jbVqQnlKTgWERER6SGyupMegJk114AtzrlxgXJzgH/DC6T3An8Afuqci9t9w8wGAv8OzMFbteJt4PvOuVJSYGYV/fv3719RUZHKw0VEREQkB7W0k17WA+RcpwBZREREpPtpKUDO3AK9IiIiIiJdkAJkEREREZEABcgiIiIiIgEKkEVEREREAhQgi4iIiIgEKEAWEREREQnQMm+tMLMoYP379892U0REREQkTQ4ePAjgnHNNBowVILcisJHJwaw2pGP6+PeHs9qKjol9Q1E/ZJf6ITeoH3KD+iE3qB9yQ1fsh35A1DnXZGfprG813QXEvl4MyHI7UmZmrwA4587LbktSZ2YVoH7INvVDblA/5Ab1Q25QP+SG7tAPQcpBFhEREREJUIAsIiIiIhKgAFlEREREJEABsoiIiIhIgFaxaEV3SzrvqtQPuUH9kBvUD7lB/ZAb1A+5obv1g0aQRUREREQCFCCLiIiIiAQoxUJEREREJEAjyCIiIiIiAQqQRUREREQCFCCLiIiIiAQoQBYRERERCVCALCIiIiIS0G0DZDMbaWY/N7OXzazSzJyZnZekXH8z+7WZ7TKzajNbbmbXtKH+BX6d9yY5d4yZPWZm+8ysyszeMrOL0/LEuph094OZ3eHXkXjbnaTsbWb2lJnt9svckZEn2QVkqx/MbJCZPWxma/zrHjSzd8zsejOzzD3j3JTl90Oycs7Mvp6ZZ5u7svh++GIL/eDM7NrMPevck+X3gz6nfenuh0D5a8zsbTM7YmblZva/ZvbRwPk+ZvYTM1von3dm9sWMPMkU5GW7ARl0InAzsBFYAZyZWMDM8oAXgWnA/X7ZmcAfzSzPOfdIsorN7BLgnGbODQCWAIOAXwF7gM8CC8zsYufc4o49rS4nU/3wNaAq8PPRJGXuwnv9lwGzOvAcuoNs9UM/YDwwD9gKhIELgUeAE4Afp/6UuqRsvh8AngceSzi2tD1PoJvIVj+8Clyf5HH/4l9nUfueRpeXlX7Q53QTae8HM7vLr/NR4EGgt//YEYFiQ/A+A7YB7wHnp/NJdZhzrlvegL7AYP/fcwAHnJdQ5mr/+BcSjs/Fe8MUJKm3AFiP16kOuDfh/M3+8XMCx0LA28B72X5duno/AHf4ZQe04drj/PsB/mPuyPbr0RP7oZn2PA0cwl+Lvafcsvx+aPL7qqfecun9ABT774UXsv269JR+QJ/Tme6HM4EocGUr1y0ERvr/PsWv/4vZfj1it26bYuGcq3TO7W+l2MfxOuSvCccfB4aR/NvMd/F+of2ihTp3OedeDbQl6l9jmpmd2IbmdxsZ7Aczs35mzf+Z3jm3uT1t7c6y2Q/N2II3opDfzsd1abnQD2ZWbGZFbWpwN5UL/RBwGV6A8sd2PKZbyGI/6HM6IAP98F3gHefcPDMLmVmfZq5b45zblWq7M63bBshtVAjUA7UJx2N/mpkRPGhmI4AfAT90zlWRXCHJ/7yZtE4B2tkPvq3AQeCgmf3BzAZlsH09Rcb6wcyKzGyImY0zsy8AXwKWOOcSryWZfT98FTgCHDWzFWZ2ZToa3E111u+la/E+M0pSbWg3l4l+0Od0+7WnHy4A3jGzu/H6odLMNne1HPvunIPcFuvwRrA+CrwVOH62fz8qofw9/mMSc/gS67zAzEY757a3oU5pXz8cAO7zy9UCn8DLN5thZqc752oy39xuK5P98FW/fMwi4Itpa3n3kql+eAP4C/AhMAZvlKfEzK5xzv05E0+ki8v47yU/cJsFzHfOVaa3+d1GJvpBn9Pt16Z+MLOBwGDgc0AEL52lHPgW8JiZVTnn5nVWozsk2zkenXGj+ZyaEUAFsBZv4tA44Aa8bzwOeChQ9qN4nX1W4FiyHOST8d6YbwJn4E1QuhWo9svfnu3Xoyv3QzP1ftMv90/NnB9AD89BznY/AKP9Oj+HN2njJWBitl+LntYPCeV64wXL2+hhueC50g9+fQ64PNuvQ7ZvndkP6HM6Y/2A9+Xb+bfTA48v9H/XLGvmuqegHOTc4ZzbDVyOl1P8It6Hxb8D3/GLHAYvmQlvpuuTzrklrdS5ArgGb4b+G8Am4J+BG4N1SqO29kMLfoP3Z54LMtXGniCT/eCc2+6ce8k597hz7nq8ia4vmVlxutrfXXTW+8E5d8QvOxpvFrsEdFI/XIs3uvZchxrbjWWiH/Q53X7t6IdY6sqHzrmlgcfX4E3om9ZcTnKu6ekpFjjnXjWz8cBUvBGV5TT+eWWDf38l3gjyD81sXEIV/fxje5xzR/0655rZ03hLmoSBUuC8hDoloI390Nxjo2a2A2/JHumATuyHucA38JZLfD71FndPndgP2/x7vXeSyGQ/mNmxeH+eftA5V5e+Vnc/megHfU63Xxv7oRyowVvZItEewID+dIEvIT0+QAZwzkXw1uADwMwu9P8ZWwvxWLwJjcnWRvySf5sNLAzUWQu8k1BnDfB6GpverbShH5Iys3y8P+u801I5aZtO6ofYyHH/FJrYI3RSP4z37/em0MQeIYP98Hm8YKHHrV6Rikz0gz6n26+1fvC/kLwHHJPk4aPxUlXLM9vK9OjRKRbJmNlQvKTy551za/zDz+CNIifeAP7m/7u0hTpPAL4O/I9zriIzLe9emumH2PFENwFFaCQy7TraD82UA/gKXr5Zs+8baZSGfhiSpM7BePmZHzrnNGLWBmn+vXQN3moLLabtSVOZ+HzQ53T7NdcPwBPAGDO7KFC2H95mLG/E/tqe67r1CLKZ3e7/c5J/f72ZnQVUOOfu98sswfsFtREvCf1reF8cvharxzm3CS9HKbF+gE3OufmBY3l4f3aYi/fLbzzem24rcEv6nl3Xka5+8G0xs8eBVXjf9M8HPuU/9k8J170eGIv3yxHgnEBb7nPOHUzPM+wastQP3zKzOcCzwGZgIHAVcDrwgHNuYxqfYpeQpX74tpldgfeFfive6M4NeOuXzknn8+sqsvV7ya93Ct5EsZ87f4ZST5WNftDndFNp7of/wlu56Ekz+yXe6iJfwZswf2vCdb/tH4/tsHeZmY0GcM7dlaanl5pszxLM5I3GmZSJt82BMr8CPsB7M+0Gfg+Makf99yYcC+EtpbTNr3Mr8P+B/tl+PbpDPwC/A1YDlX7ZdcCdQHGSsq+0cO1x2X5dekI/4OVYzgu8HyrxJsV8mR66ckKW+uFivIk1u/Fm75fjfWn5eLZfj57UD4Hy9/jXmprt1yHbtyy9H/Q5ncF+8MuOwFuxqBxv4t4SAjsXBsptbu7a2X5NzG+giIiIiIigHGQRERERkTgKkEVEREREAhQgi4iIiIgEKEAWEREREQlQgCwiIiIiEqAAWUREREQkQAGyiIiIiEiAAmQRkR7AzP7HzLTwvYhIG3TrraZFRLqrdga7x2WsISIi3ZB20hMR6YLM7LqEQ2cDNwAPAq8lnJuHt8V02DlX3QnNExHp0jSCLCLSBTnnHgv+bGZ5eAHym4nnAuoy3jARkW5AOcgiIj1Ashzk2DEzG+z/e5+ZVZrZfDMb4Ze5wczWmFm1ma01syuaqf9qM1viP77KzJaa2ac747mJiKSbAmQREVkI9Ad+DPwOuBSYZ2Y3ATcBDwO3AAXAXDOLy2k2s7uAx4FK4Ed+2SrgCTP7Vmc9CRGRdFGKhYiIvO2cawhkzQzgX4BjgCnOuUP+8cXAcrxUjlv9YzOA24B7nHM/DNT5n2Y2H7jHzB5xzlV2xhMREUkHjSCLiMi9CT/HJvk9EguOAZxzK4BDwAmBstcCDnjYzIYEb8DTQF/gjIy1XEQkAzSCLCIiHyT8fMC//zBJ2QPA4MDPkwAD1rZQ//DUmyYi0vkUIIuI9HDOuUgzp5o7bgn/dsDsFsq/n2LTRESyQgGyiIh0xAZgFrDVObcm240REUkH5SCLiEhHPOrf321m4cSTZqb0ChHpcjSCLCIiKXPOvWNmdwB3AO+Z2RPATmAkcCrwSbzl4UREugwFyCIi0iHOuZ+Y2bvAPwM3Ar2BMmCVf0xEpEsx51zrpUREREREegjlIIuIiIiIBChAFhEREREJUIAsIiIiIhKgAFlEREREJEABsoiIiIhIgAJkEREREZEABcgiIiIiIgEKkEVEREREAhQgi4iIiIgE/B/SaiLQnorxAgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot trend and time series\n",
    "fig, ax = plt.subplots(figsize=[10, 5])\n",
    "data.plot(y=\"y\", marker=\".\", legend=None, ax=ax)\n",
    "trend.plot(ax=ax)\n",
    "ax.legend([\"y\", \"trend\"])\n",
    "ax.set_xlabel(\"Time\")\n",
    "ax.set_ylabel(\"Air passengers (1000s)\")\n",
    "ax.set_title(\"Air passenger numbers\")\n",
    "plt.tight_layout()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4f9b9bdb-e1e6-4e29-805b-79e3f511e170",
   "metadata": {},
   "source": [
    "Let's try de-trending the data we by subtracting $y$ by the `trend`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "043a19eb-81b0-44f9-a9f1-d1a89b01a1b6",
   "metadata": {},
   "outputs": [],
   "source": [
    "df[\"y_detrended\"] = df[[\"y\"]] - trend"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "2c945823-2703-4ce5-9168-b618d7e7df88",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot de-trended time series\n",
    "fig, ax = plt.subplots(figsize=[10, 5])\n",
    "df.plot(y=\"y_detrended\", marker=\".\", legend=None, ax=ax)\n",
    "ax.legend([\"y detrended\"])\n",
    "ax.set_xlabel(\"Time\")\n",
    "ax.set_ylabel(\"y_detrended\")\n",
    "ax.set_title(\"Air passenger numbers - de-trended\")\n",
    "plt.tight_layout()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cedff979-eec5-4c86-b35c-207babf55b5e",
   "metadata": {},
   "source": [
    "The seasonal variation still increases quite a lot with time here. We notice that the  original time series looks multiplicative (the seasonal variation increases with the level of the time series). We'll introduce the `LogTransformer` from sktime to take the logarithm of this series to make it look more additive. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "eb75df3d-870d-462c-98b9-cf443983f591",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sktime.transformations.series.boxcox import LogTransformer"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "fd4999fb-6927-4392-a197-838ab6769987",
   "metadata": {},
   "outputs": [],
   "source": [
    "log_trafo = LogTransformer()\n",
    "df[\"y\"] = log_trafo.fit_transform(df[[\"y\"]])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b4473ba4-6c56-4b83-b8c7-eaab9b28bfd2",
   "metadata": {},
   "source": [
    "Let's re-fit the trend forecaster."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "6ade98e3-cefe-459a-9b5f-32b5b63bc9d5",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Fit the forecaster on a time series\n",
    "trend_forecaster.fit(y=df[\"y\"])\n",
    "\n",
    "# Define the time horizon over which we want to compute the trend\n",
    "fh = pd.date_range(\n",
    "                   start=df.index.min(), \n",
    "                   end=df.index.max() + pd.DateOffset(months=12), \n",
    "                   freq=\"MS\"\n",
    "                  )\n",
    "\n",
    "trend = trend_forecaster.predict(fh=fh)  # Forecasting horizon.\n",
    "                                         # Get forecast over this period."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "681fa639-349c-4df5-bc55-7d445fbc9f1f",
   "metadata": {},
   "outputs": [],
   "source": [
    "df[\"y_detrended\"] = df[\"y\"] - trend"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "e37d0b2c-7405-437d-a3c7-6b9200525074",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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00W9Qqj2lrhu93wuqzduhAH4ANmFKKufwjBLHVOt5M3WdWPEAC3CvAgvyUmAyoQtRwloPLGn3P8FY/aRyLjaDudscYvA7lwO4G+xeoSi8n8peSwBWgclPdiu/8X4Aj4F5dcdquL4WgHnBTyqPPwFYWuZcGTrXyr6fAJvgpcD6ic+CTcw9mzfvYerBfVE9ePDgAihLs8MANlJK39ro9pQCIeRiMIuoUyilDza2Nc6Bwpg9BeAKSuk3G90eDx48ePCgD0+D7MGDQ6GnuQNbLuyAxjfVg/OgPX9KAthlylPv/Hnw4MGDg+FpkD14cC5+qjgHPAa2XHgcmHbvdZQuG+vBOXiWEHI/2JJ4C1jxl5PAPJsrJXR58ODBg4cGwguQPXhwLu4G0xJ/GUArmP7vZwC+TCmNN7JhHgzhDrCg+ENgfe12sHOpVzHMgwcPHjw4CJ4G2QIQQrJgcpXJRrfFgwcPHjx48ODBgyG0AchTSosIYy9AtgCEkDwA0t5u1J7WgwcPHjx48ODBQyMxMTEBMGeXopw8T2JhDSbb29vbx8fHG90ODx48ePDgwYMHDwbQ0dGBiYkJ3dV/z8XCgwcPHjx48ODBgwcJXoDswYMHDx48ePDgwYMEL0D24MGDBw8ePHjw4EGCKwNkQkgTIeQGQsgeQkiCEPI4IeQ0A++7kBByPyFkHyEkRQjZQQj5JSFkYT3a7cGDBw8ePHjw4MH5cGuS3s0A3gXgu2BFEy4GcBch5C2U0n+Wed/hYDXl/wpgFMBCAB8HcC4h5DBK6T4b2+zBgwcPHjx48ODBBXCdzRsh5BgAGwF8jlL6XWVbGMALAPZQStea/Lw1AJ4G8AVK6beqbNO452LhwYMHDx48ePDgHiguFhOU0g7ta25kkN8NIANWUQwAQClNEkJ+DuAbhJBeSuleE5+3U/nbYV0T9TE9PY3JyUlks1nk83m7v87DGxw+nw/hcBjd3d0ghDS6OR48ePDgwYNr4MYA+UgAL1NKpzTbnwBAABwBoGyATAiJgR37AgBfUTbfZ20zVeTzeezZswfxeBw+nw/BYBB+v9+ur/PgAQCQyWQwNTWFVCqFefPmeUGyBw8NwmA8if7RBPpiEfREw41ujgcPHgzAjQFyL5iOWAseFM818BmvAuhS/h8B8K+U0gdK7UwIGa/weWVL6E1MTCAej6O7uxtdXV3w+VyZG+nBhRgdHcX+/fsxPDyMWbNmNbo5Hjy84bB+0wCu3LAZQZ8PmXwe152/GuvWzG90s2qCF/B7eCPAjQFyBEBKZ3tSer0S1gFoAbACwAcBRK1pmj6mpqYQCoW8pW4PdUcsFsP4+DiSyWTlnT148GApBuNJXLF+M1LZPJJgsrorN2zGicu7XRtYHogBvwcPenBjgJwA0KSzPSy9XhaU0oeVf+8ihNwO4AVCyBSl9Icl9u8o93kKw1ySRc7n8wgEAl5w7KEh8Pv9nubdg2twILGT/aMJ5DWJ8EGfD/2jCVce24EY8HvwUApuDJD3gskstODb9pj5MErpdkLI0wAuBKAbIHvw4MGDB/uxftMAvrh+M3wEAAWuW+dudrIvFkE2XxggZ/J59MWMLHQ6D/2jCWh5nlye4h+vDWNhV8sBManx4IHDjQHyswA+Qwhp1STqHav8fa6Kz4yASS48ePDgwUMDMBhP4soNm5HOqqsdbmcne6JhtIeDGE9kAAABH8F156927fH0xSLI5jQBf47i3299DiG/Dz7i/kmNBw8cbswW+yOAIICP8Q2EkCYAHwHwKKV0j7JtASFkhfxGQkhRlhIh5Cgw54unbWyzBw8ePHgog/7RBAKaBGYuR3Arsrk84qmseL6ku8XVwWNPNIw3Le4EAPh9BH6JTU7n8khm87hyw2YMxr2cBw/uh+sCZErpRgB/AHCjUm764wDuB6uKd7m0668BvKR5+05CyM2EkM8TQj5BCPk+gIcAxAF8rQ7N92AAV1999QGp137wwQdBCMGDDz5o2WdefPHFWLRokWWf58FDo9AXiyCTK9TKu1mOAAD7JpPISRKLVwen8PK+yQa2qHY0BZhF6dmr5uB/Pnw0WpsKLUvdPqnx4IHDdQGygg8D+J7y9/tgjPI5lNJHK7zvR2Dlpr8M4AcA3gngVgBHUUpfta+5HuqFn/zkJ7j55psb3QwPHjyYRE80jH87dbl4TgBXyxEAYPeYGijO62CB/oZNei6l7sGAckxHLezEYfPbDyiNtQcPMlwZIFNKk5TSL1BKeymlYUrpMZTSezX7nEwpJZptX6CUHkkp7aCUhiilCymlH6WUbq/vEXiwC16A7MGDe3Hkwg7xPwVwxiGzG9YWK7B7nAWT3a1NeO/RfQCA25/dXcAquwmUUgyMzQAA5nc2oycaxnXnr2ZJlWCyC7dPajx44HBlgOzBgxWYnp5udBM8ePAgYXQ6XfD85X3xBrXEGnAGeV5nBOcfOQ8AsH8yhce2DjeyWVVjZDqNZIbJYOZ3MpZ43Zr5OOXgHgDAOw+f62qNtQcPMrwA2eUYjCfx9M6xhiRF/PKXvwQhBM8880zRa1dddRXC4TDGxsbKfsY//vEPvOlNb0I4HMbSpUvxP//zP2W/b82aNYhEIuju7sZFF12E/fv3i9cXLVqE5557Dg899BAIISCE4OSTTwYA3HzzzSCE4B//+Ac+8YlPoLu7G6tWrRLv/fOf/4zjjz8eLS0taG9vx/nnn4/XX3+94PtPPvlkHHHEEXjhhRdw8skno7m5GfPmzcONN95Y1NaBgQGcd955aGlpQU9PDz73uc8hldKrbwM89thjOOOMM9DW1oaWlhacfvrpePrp4pzR22+/HatWrUI4HMaqVauwYcOGsr+tBw9uw5gmQN6yx916Xc4gz++IYEFXM960iCW4rXepzGJAlox0qjKK2e2MMU7lPL91DwcO3GjzdsAgm8tj70T1ge3fXtiHb939CgI+gmye4j/OPBhvXTWn6s/rbQ8j4Dc+Z3rXu96FT3/607jllltw5JFHiu2UUtxyyy0455xz0NnZWfL9mzdvxplnnomenh5cc801yGQy+OpXv4rZs4uXVa+55hpce+21+MAHPoCPf/zj2Lt3L773ve/hySefxNNPP41IJILvfve7+MxnPoPm5mZcddVVAFD0WZ/4xCfQ29srvg9gwfNHP/pRvO1tb8ONN96IeDyOH/zgBzjxxBPx3HPPFXzGyMgI3vrWt+I973kP3ve+9+EPf/gDLr/8cqxevRpnn302ACCRSOC0007Drl278JnPfAa9vb34zW9+g/vvv7/ouO69916cc845ePOb34xrr70W+XweN910E9auXYsnn3wShxxyCADg7rvvxrve9S4ceuihuP766zEyMoKPfOQjmD/fY2s8HDgYOcAC5AGJQQYY2/rkjjHctXkv3n3UfCyf3eoqOQKXV7RHgmgLB8X2jgj7f2Im05B2efBgB7wAuYHYO5HESTc+UPPncF7yG399Cd/4q9a4wzgeuewU9MWaDe/f1taGd77znfjd736HG2+8UThPPPbYY9ixYwe+/e1vl33/V77yFRBC8Oijj2LePLb8+K53vQurV68u2G/Hjh342te+hhtvvBGf//znxfazzz4bxx9/PH71q1/hk5/8JM477zxcffXV6OjowAc/+EHd75w1axbuvvtu+BQ7qampKXz2s5/Fpz/9afzgBz8Q+73vfe/DoYceiu985zv45je/KbYPDAzglltuwQc+8AEAwCWXXIKFCxfi5z//uQiQb7rpJrz66qtYv349zj//fADApZdeisMPP7ygLfl8Hp/61Kdw1lln4U9/+pPYfskll2DFihW49tpr8bvf/Q4AcPnll2Pu3Ll49NFHEY2yyuhvectbcOaZZ2LhwoVlf2cPHtwCrcRiy153B8iCQVYC5HNW9+JLGzYjmc3jkpufBAhcVaqZB/zzOwuT8DqaWYA8nkgXvceDB7fCk1h4qAkf/vCHMTAwgIceekhs++1vf4uOjg6ce+65Jd+Xy+Xw97//HevWrRPBMQCsXLkSZ511VsG+GzZsAKUU69atw/DwsHgsW7YMvb29pmzTPv7xj4vgGADuueceTExM4L3vfW/BZ0ejURx++OFFn93e3o73v//94nkoFMIxxxyDbdu2iW1//etf0dfXh/POO09sa25uxsc//vGCz3ruuefw+uuv4wMf+EDBd2cyGZx00kniu/fu3Ytnn30WF198sQiOAeCMM84QDLMHDwcCOIM8K9oEAHhlf7zI+s0tyOepCJC5g0UqmwNPz0tm80hm3OUbrCboaQLkSAgAMO4xyB4OIHgMcgPR2x7GI5edUtV7R6ZSeN9NjyMlVZ1qCvjw+4+/GV2tTVW3xyzOPPNMzJ49G7fccgtOPvlkZDIZ3HrrrXj3u9+NpqbS7RgaGkIikcDy5cuLXjv44IPx17/+VTx/7bXXkM/nsWTJkpKfZRSLFy8ueP7aa68BANauXau7v/Y7+/r6ijyaOzs78fzzz4vnO3fuxLJly4r2O/jgg3W/+8ILL9T9bh7I79y5EwBK/labNm3Sfb8HD24D1yCfuKwbG57ZjXQ2j61DU1gxp63BLTOP4emUqArIJRb9owmEAj6R6AaovsFukFqoDHLhSmN7syex8HDgwQuQG4iA32dK0iCjL9aM69etxpUbNiPo8yGTz+O681fjiAWlNb92wO/344ILLsDNN9+MH/7wh7j77rsxMjJSUuJQDfL5PPx+P+666y7dAiLldM5aRCKFzEc+zwaqW265BbNmFRVaLNrf7/cX7QMw3bVZ8O/+zne+U5Aw6MHDGxVcYrFqXjvuf3kQE4kMtuyZdGWAPKDjgdwXi0Dr8OYm3+CSEgtFgxxPZZHJ5RE0kcviwYNT4QXILsa6NfNx4vJu9I8m0BeLNIyB+NCHPoTvfOc7uOuuu/C73/0OCxYsKMnIcsyaNQuRSESwqDJeeeWVgudLly5FLpfD8uXLK1aNM1uBb+nSpQCA3t5e4XhRKxYuXIiXXnoJlNKC9ugdFwB0dHTg9NNPL/t5AAz9Vh48uBlcYtHVEsIhvW3457YRbNkziXVrGtywKsAt3tojQUSVhLaeaBhXnL0C1/xpCwC26ucW32CtB7KMjuaQ+H8ykal6FdODByfBm+a5HD3RMI5a2NnQDvbII4/EqlWrcNNNN+HOO+/EBz7wgYqBqt/vx1lnnYX169dj927V8uill17C3//+94J9zz//fPh8Plx77bVFn5PP5zE6Oiqet7S0YHx83HDbzzzzTLS1teG6665DNpsten142Lxf6TnnnIP+/n7cfvvtYtvMzAxuuummgv3WrFmDJUuW4Fvf+hZmZmaKPodLR3p7e3HEEUfg5ptvRjyu+sLec8892LJli+n2efDgRFBKhcSisyWEQ+Yy1titiXpa/THHBccuEP//4IIjXZOgp+eBzMGT9ABgPOHJLDwcGPAYZA+W4EMf+hAuv/xyADAsr7jmmmvwt7/9DSeccAI+9alPIZvN4gc/+AEOPfTQAk3vsmXLcO211+JLX/oStm7dire//e1oaWnB1q1bcdttt+Gqq67Cxz72MQDAUUcdhR/84Af4+te/jmXLlqGnpwennnpqyTa0t7fjhz/8IS666CIcffTReN/73oeuri7s2LEDd955J8477zx8/etfN/VbXHrppfjhD3+ICy+8EJ/5zGcwZ84c/OY3v0FzcyHr4vf7cdNNN+Hcc8/F6tWrcdFFF6G3txcDAwO4++67sWzZMvzmN78BAFx//fU499xzccIJJ+AjH/kIRkdHxW81NTVlqn0ePDgRk8msKFvMGWSABcja1Rg3YLfG4o2jKeBHS8iP6XQOVSizGoZSHsgAY8k5vEQ9DwcKvADZgyW48MILccUVV2D16tWG9bSHHXYY/v73v+Pf//3f8ZWvfAXz58/HNddcg7179xYEyAArPLJ8+XJ897vfxVe/+lX4fD4sWLAA5513Hs4444yC/bZv3y78jN/ylreUDZABFtzPnTsX3/zmN/HNb34TmUwG8+fPx8knn1zgWGEUzc3NuO+++/D//t//w/e//300NzfjwgsvxNlnn423vvWtBfuedtppeOyxx3Dttdfie9/7HqanpzF37lwcf/zx+OQnPyn2e+tb34o//OEP+NKXvoQrrrgCS5cuxS9/+Uvccccdplw8PHhwKmSLt5jEII/PZLB3Iom5He7Q6XJwOYKWQQYYQz6dTmB8xj22aKU8kAEgHPQjHGTJhxOe1ZuHAwRegOzBEgSDQRBCTCfnrV27Fk899VTR9quvvrpo23vf+168973vLft5PT09uPPOO4u2X3zxxbj44otLvu+0007DaaedVvazSwWiN998c9G2BQsW4I477ijarpfMt2bNmgI5RimsW7cO69atK9jGfZY9eHA7RqfVSpOxlhC6W5sQ8vuQzuWxZc+k6wJkrQeyjM7mEAbGEhiddg/bWipBj6MjEsK+TPKAYZAH48mG5/d4aCw8DbIHS/CLX/wCAHDBBRc0uCUePHhwI0amGPPYHPIjHPQjFPBh+exWAO7TIVNKhcRCN0BuYUltYy5kkEsGyLxYyAEQIN/86HYcf/39+PDPN2LtjQ9g/aaBRjfJQwPgMcgeasL999+PF198Eddffz3e8573YO7cuY1ukgcPHlwIHizGWlRHhEN62/DinknXlZyeSGQwnc4BAOZ1FFt5xpRgcmzaTQGyvgcyB9chuz1Jb/9EEtf8eQsoBbLKObxyw2acuLzbY5LfYPACZA814dprr8Vjjz2GE088Ef/1X//V6OZ48ODBpZAt3jgOmdsGPO0+BrlcQhug2qK5i0EuL7HgAfKEi45JD798dHtR8qSbirl4sA5egOyhJngJYm88eNo8D3ZgdEq1eOPgTha7RmcwmcwUJYc5FTyYbA750dlc3GbOko+6hEEu54HMISQWLmaQR6ZS+O0Tu4q2u6mYiwfr4AXIHjx4MIz1mwaKqje6xcfVg7MxqiOxWDlXraB35zN7cOaq2a6YlMkeyLrVP5VjdIted3iqtAcyB2fF3XJMerjhby8jnlT98H0ECLmomIsHa+El6Xnw4MEQBuNJXLF+M5KZPOKpLJKZPK7csBmD8WSjm1YTBuNJPL1zzPXH4XaM6kgs2sJBodf92l+2uCZhqpQHMgdnlUddIkfg7DFQ+pjcrkF+ascobn2KXVsr5kQBAPM7mvHwZad4JMAbFF6AXAf4fD5ks1ldiy8PHuxGLpeDz1f7rd4/mkBecw1zbZ5bsX7TAE664QFc9IsnXBN8HagYnS6WWAzGkyLgSmXzrpmUlfNABoCYwrZOJDLI5Z0/LgxIZbNLyVy4xMKNGuS94wl8/tbnAACHzW/HRccvAgDkQQ8Y5tgjAszDC5DrgNbWVqTTaQwNDSGfzze6OR7eQBgdHUUqlUI4XHsn3xeLIJsrHMzdrM0bjCfxxfWbkcrmMeViRvxAGfi4zZvMIPePJhDwFUoU3DApUz2Q9fW6fBJAKQuSnQ4eIJe71zsiisTCBccjY/2mAZx04wPYOcomNaeu6EE0zNSnM4qLhduxftMA1t7wAC72iABT8DTIdUB7eztmZmYwMjKCsbExBINB+P3+RjfLwwGOXC6HVCqFaDSK7u7umj8vmc6Dh8eEAE0u1+b1jyaK2Du3ZasfSJpw1eatSWzri0WgJVjdMCkTGuSSEgt1EjA6nS7QXTsRIkFPx7KOQzDIiQzyeQqfz/mlwQfjSVy5frMocQ4AP3loK755/mEAgJl0ttRbXYPBeBJfvO15pHMUySwj6NxoW9eI5HAvQK4DfD4f5s2bh46ODkxOTiKbzXpMsgfbEQwGRXCslyhkFo+8PiT+b20K4L7Pv8VVHawWe8ZnigJkNwRfHFwTnsrmkYR7Bz4ASGZygq2Tg8WeaBjvf1Mf/nfjLhAATUHnT8qmUlmRqFZKYtEhOVu4weqtksUboGqQKQXiySzaddw7nIb+0QQCfgJIcXDQ50M8xc5fMpNHLk/hd0GwXwq/fXwX0jl3EwF/fKofV2zYjKDfhzyldSMCvAC5jmhpaUFLS0ujm+HBQ1X4x2vD4v+ZdA6zWpvK7O1s5PIUP3pga8G2kN/5wZeM/tEEtOO22wY+jhHJ7kzLpp572Fz878ZdoADu//zJji85vVvyQC4VUIaDfrSE/JhO51xRLKRSFT2gMOgfT6RdESD3xSJFwWMmn8eiLnWcnklnEXWJvSDHYDyJ/pEZ3PfKIP5b088BLiQCNmxGJkeRydW3cIsXIHvw4KEicnmKx7aOFDyfSrlv4OBYv2kAL++LAwAIAArghnetxvkukif0xSIFS8OAuwY+GdwDGSgOkGdF1YmYz4KVELuxe5wFkyG/r+wksqM5hOl0wvEMMvNALq+pBlSbN4BZvS3ssr1pNaMnGsYlJyzCjx/aBgAIK7IxWRozk865qp9bv2kAV67fjBylyCjBf0+0CYPxFAD3SeMYEcB7aYZ6EQFekp4HDx4q4oXdE0XJRG71O02kc/jW3a8AAN55xFz0tLEgxgVmAgXoiYZxxiGzxXMfgasGPhnc7izgI2gLF/I2coA8pAzyTgZnkOd2hMvqcPlEYMzh99HwVBopRbs6v8zkqyXkFwmVbkrUO3gO89pujwTw8OXM0q2lSb0Gp1Pu0SEPxpO4csNmJLN5ERz7CPA/HzxK7PPbjx3rqjyFvlikYVI4L0D24MFDRfzjdSav6G5VWSI3ZN/r4bv3vor9kykE/QRfOOtgkTDldCZPD3Pa1EGiLRzEeUfMa2BrqsfoNAt8O1tCRXr5tnAAoQAbqoamnO/UMVAhQY+DO1k4XWJR4IFcRt5CCFGr6bnoXuLuL3M7msXksjmkJtG7ycmifzSBoMbSsyUUwHRGPQZ+L7kFPdEwjluqLkcQ1I8IcNcvpYAQ0kQIuYEQsocQkiCEPE4IOc3A+9YRQn5PCNlOCJkhhLxMCPlPQkh7PdrtwYNbwfXHZx46R+he3cgg3/zodvzPw2w5NU+BJ7aPSoO6+45neEplVMcTGWzZO9nA1lQPPYs3DkKIkCq4gUF+fXAKQLFURAtRLMThAfKWPeyaaosEKkoNeKKemybPg5PsmuqRViqaQ+5kkPtiEWQ0BgCZfB7LZ7WCzzunku45Hg5ZqkQBHLmgsy7f68oAGcDNAD4H4H8BfAZAHsBdhJDjKrzvJgArAfwGwL8B+Lvy91FCiPvWJT14qAMS6Rye3jkGAFi7vBttLhwEAcYUfe0vL4nnuTzFlRs2oznI2KLxhLMDFT2MTBcGjJzpdxvGdMpMy+AyC6cHyOs3DeD+lwcBAHdt3lfWb1ZduXDufbR+0wC+eueLAIB4IlvRP9eN5aa5NlcOkP0+gnCQhUduYpB7omFcd/5q8DWYgJ/guvNXY3Z7GK1K0B93UcDPoa04ed9L++vyva4LkAkhxwB4P4DLKKWXUUpvAnAqgF0Abqjw9ndTSg+jlH6FUvozSulnAFwK4FDlMz148KDBxu0jSOfy8BHguCXd6BAlZd0VUOoVlwj6fMLCycmBSikMx9k5CPlZVy47jbgJnEV1c4DM9Z+82GRWmYCVKuCiapCdeR/x4+GJoBSoWEhH9A0uupf48fBcBI4WJaCcdpkX8ro189Gq6Pi//s5VQm/Mt7mRQeYyJN5X3/fSYF2+13UBMoB3A8gA+BnfQClNAvg5gBMJIb2l3kgpfVBn8wbl70oL2+jBwwGDRxVWcvX8DrQ3B9HuQpYIUIpO6CR7cNswN+kmOTiDfMqKWQCAJ3aMIplxD+PFwSUWpQLkbi6xmHJugMyq/hUOqeWq/nGJhVM1yHp61kpVDLm1m5smzyqDXLiI3NzEVpZmUu66n7K5POJKELyoW7Wra1USD+NJd/XbgMogv+Ug1s89uWO0LiuYbgyQjwTwMqV0SrP9CTD99hEmP2+O8ted1IsHDzbjEYWVPGkZq8bX4VKJBS+FCwCRoB/hYKGl09i0u44nl6eCeX374XNBCJDO5vHkjtEGt8w8DgQGuS8WQSZXrP8slW3f6XAGuZSe1Ui56QkXTZ6HdDTIgHsZZHklTL6fBIPsQokF75vffngvQgEfsnmKh14dqvCu2uHGALkXwF6d7XzbXJOfdzmAHID1pXYghIyXewDwkvw8HJAYiqeEX/CJy5UA2YWZ6gCwa3RGOGl+532H4+HLmKWTqpt01/GMzaSFNd2ynlasnse6ITfKLDhDpJekB6gB8vCUc89RTzSMz52+XDyv5Dcb49ddIlNkY+UEFOlZfaSie4DoG1wyeU6kc0KT29OmYZAVJws3aZCBwgmXXNJcMMguC5DT2bwI6ud1NOMExdGiHjpkNwbIEQB6NEJSet0QCCEXALgEwI2U0uJyMx48vMHxtxfYvDMc8OHIBR0A3JmpDgDbh6cBMJujMw+ZIwZ6NyRL6WFECha7WppwosLwP+LGAFlhkDtLBcgucbE4ZolqR3XP595S1m+WT8wode69tG7NfDE5uerclRX9c902eZb11EUMshJQusnFAih0RZGrG0ZdqkGWr6VYSxCnrWTe7w++MoSsZsXGargxQE4A0CtPFJZerwhCyElguuW/APhyuX0ppR3lHgAmjDffgwd3YP2mAVx95xYAQDqXx1+eZ8GyGxNxAGD7MFNlLe5qKSjgwLWgiUzOVfpdbvFGCFtK5Qz/lr2TBfZvTkc2lxfXUiWJxVQqixkHL3lzaUEo4KtYyEA+VqfKLAB1Sb6vTBU9DrdNngelCdcsTYDsWgZZCZDbwgEE/WqIxxlkt0ksRjWM+GkrewCwa+wpxV3JLrgxQN4LJrPQgm/bU+kDCCGHA7gTwPMA3kcpddcd4MGDzRiMJ0W5UoB5BvMMdp6k55ZBkIMzyEtmtRRsl0vkuumYeBAcaw7B7yM4amEnIopl3aMusnuTmfuuFv3SzDK7x507nAge6HY2B4sKnmghs3tOTdRLZ/MiQGxvrlxuWbZ5o9R5shEt9k8yBrk9EkQ46C94TWiQXRpQaiebrU3s/LmNQZYZ8fZIEL3tERzSy6of3rJxZ1lXlVrhxgD5WQArCCGtmu3HKn+fK/dmQshSAH8DMAjgXErptOUt9ODB5egfTQhLHQ6ewe5WBnnrELvVF3cXBsidcqDiYCZPCy6x4A4PTQE/jlkcAwDc8cxuWwcOK1GgmWzRD8K6pUIBTq6mx+8JOSG0FMJBv2ApnVosRJ4wcna4HHjfkM1TTLuAedUrEsIhXCxccBwyxkrIlXiSnts0yDxBrz0SREBhxOd1MMHAn57fi7U3PlDRn7tauDFA/iOAIICP8Q2EkCYAHwHwKKV0j7JtASFkhfxGQsgcAHeDFRY5i1LqHprFg4c6oi8WQbpERj5nvtzEtgIqg6wNkOWB301OFpxB7pLKf7cpg+ADrwxh7Q32DRxWQtZSy0lFMiIhP6LKErGTdchcL2mEbQXU43XqZNN0gCwdtxt0yMLirU0nQHapi8Wo0ofFNPcSv39cxyBrGPHBeBIPvcpCN0qBZCZf0Z+7WrguQKaUbgTwBwA3KuWmPw7gfgALwRwpOH4N4CXN2/8GYAlYBb4TCSEflB6VqvB58PCGQU80jMMUVwReVYpnsPOB0k2a3XgyIwIrrcQi4PeJBBY3DOocojyzwq4OxpP4+xaW2U0BJLP2DRxWgrOn7ZFggWZSCzdYvXH3hk6DATIf9LWVwpwC8wyyGpQ5NeiXIYqE6DhzCA2yy3yQhcxHwyBHXWrzJhhx5Z7qH02gKWDOn7taBCrv4kh8GMDXlL+dYFricyilj1Z43+HK38t0XvsVgH9a1kIPHlwMSin2TLDB48PHLcSnTl4qBhGZJZpMZIq0e07EjuEZ8f+Sbq06izF58WTWVU4WvEhIt8Ig948m0OT3IZ1VmX8+cJSz5mo0RpXjKGXxxtEdbcK24WlnB8gmJBaAei85VdozmVCTDo3c59FwAIQ425lDxpBOmWkOt/ogl/IUd6sPsrYMfTX+3NXCdQwywCrnUUq/QCntpZSGKaXHUErv1exzMqWUaLaRMo+L63oQHjw4GLtGZ7BXCZDfc1RfQYDVLrNELhgEAWCb4mDR0RzUtRLrdHigoochjQa5ngOHleBLwqUs3jgEg+xghw5+/XSYZJCdmqTHg9wOA+wxAPh8RDDNrmCQFQ2y1sECcLEGWSSKapP03CmxUBlkdjzV+HNXC1cGyB48eLAXj28bAcCWVVfMiRa8Ji+1umEQBIBtJRL0ODpc6MwxMlXIIPOBg+dW+m0cOKwEZ5BLWbxxuMELWQSUJbTUWvBBf9Sh2nd+PEbkFRwiidcF5aa5xGJ2W/E94loXC8EgF54zLrFI5/JIZd0T9I/OFE+g162Zj1XzmJPFpSctrujPXS28ANmDBwsxGE/i6Z1jjtd9VsLGbaxc8TGLYwWewQBbbm1R9HluCShLJehxCAbZoUyeFpRSNUlPskZbt2Y+TleM9M9d3WvbwGElRqbLV9HjcIUGmUssTCfpOfO6qyZAbnd44iFHOpsXkipdFwuX+yAXM8jqOXQTi1zqeGJKv2dnEUq3apA9eHAc1m8awJUbNiPo8yGTz+O681e7IkDRglIqGOQ3S5XBZLRHgphO5xw7sGshPJArMMhu0SDPpHNIZpicQnaxAIC5HRGxjxtQKqlICzcEyLIPshFwls+pSXo8yK2GQXb65FmW6mjLTANSJb10FpTSir7WTkAykxP2eqU0yADTIXe16nuOOw2lGHF+PJM2Bvseg+zBgwXghTWSmTziqayt1jN2o380IRL03rwkpruPm4qFUEqlIiHFCXqA+0rkytZo3ZqBjjOxXLrgdAg3DhMaZCcWocjm8ogrg3W7wSS9TpdokE0FyC65lwYnS5eZBlQGmVuJuQEya1/kg9ykBshxFzHI4yU01dzSMp60bwzyAmQPHixA/2iiiGEI2GQ9Yzdk/fHKOW26+7ipWMhQPCUyt0tLLDiD7OxBnUNmv7QBcqyVB8juOJZSWfdacA1yJkcdOTGTmSyzEouJRAY5O9eKqwT/nduq0SA7vG/YryTotYT8gi2WIW9zcnlzGfI9r/VBlgNktzhZlGPEo2F2ndkZ7HsBsgcPFqAvFkFW4yAwnc4ClLpOk8wDZD39MYebioVsG1aLZS7qKiWxcMegzsET9FpCfkRChfZbnIkdcUGATCk1LLEoKDftQCeLgoqAJpP08lS1VHMSJmvRIDvweGQMcQ9kHXkFoDLIgPvkSj5SPKnx+4g4JrdokMsx4rzwiccge/DgcPREwzjjkNkF2ygF3v2Tf+LDv9hoazlMK2FEfwxIAaXDB0FA1R/PbQ8XBZMcndKg7sTley2GNUVCZPDklXgyW+CJ7ETEU1lkcuz3riSxiLWEwBdpBh2oQ5YHc7M2b4AzdciqK0cVGmSHTzb5NaRn8QaoLhaAe7yQOYPc0RyCX4fcEFZvLmGQZUZcO+mMComFxyB78OB4cDeBYxZ14vNnHASAVTSbTuVco0mW9cfHLtbXHwMqO+F0nSGAivpjQO18c3mKuAsGjxGdMtMcctDldMnIqKSlrjQxCfh9YtnYiYl6E4qtWZPBohqA80sz16RBdrjNG/dA1tMfA6oPMsD6cDegUpIoT2xzQx8HqMdDSPE16EksPHhwEfYpSR8rettw/LJuhIP1KYdpJTh73BYOYGWvvv4YUCuFuUJiMcSKhJTSHwOaQMWhnrQyuHxCqz8GCplYOZnPibhNWlV57/88XnGVxclOFmO84IlBeQUAhIN+seztRC9kHuRWl6TnvOORUa7MNACE/D4EFBbWbRrkUnr+qMuKhQhGPBIsYsSjXpKeBw/uwT6FeZ3THtatXuaGqmYPvjIIADi8r0N3iY7DLYMgoGqQywXInS5iXQE1Sa9bh0FulwYTJyfqDcaT+MlDW8XzVLbyKouTq+mNVyFHAKQEUYedq1RWtRI0pUFWJs+pbB7JjHOZVy6x6GnTZ5AJUTW7rmGQS3gGc6jlpp3fbwOSg4VOwM8Z5Ol0zrYEVy9A9uDBInAGeU5bWFQ18yuiSR+B46ua3fZ0P/76wj4AwD+3jpRl89zidZrN5bFrZAYAsHhW6QC5JeQXbJEbAuQRnSIhHD4fEUusIw62eusfTcCncX6ptMri5Gp6EzPm2VYA6GxxZplz+d6uhkEGnD2B5gHy7BIBMqA6WbiGQVZ+71IMstvKTfNVFa0jB6AyyIB9x+MFyB48WIBMLi8y6+e0syB43Zr5+OiJiwAAh85tc3TRkMF4EldueEE8z+ZpWTavXRkEJ5POtKfiGBhLIKu0b2l3aQ0yIUQUC3HyoM7Bk/T0GGRAHSCdLLHoi0WKrp1KqyyOlljMmJdYyPs7LUlvstoAWS5F71Adci5PxSSzHGkhGGS3uFhMl2ZcAbWanlt8kMs53LSF1ets0iaZhRcge/BgAQbjKfAcozmSbdBBs6PidSeDsXmF28qxeXzApNReDVit2DbM9MdBP8G8zvLyFlFu2mGBih7UJD199oszy06WWPREwzhpeTcAZkEVDvoqrrI4OUCuVmIRc2ixEJlBNuODLAfTTp1sjkylRIniUkl6gMQguySpTWiQS0zSoi5L0hudLp10KDPIdgX8XqlpDx4sANcfAyqDDADzO5sBMFP6VDaHpoCx7PZ6g/k4G2fzOqQOeHwmU/DcSdg2xPTHC7taymqqAblYiDMHdY5sLi/aqJekB6jFQpzuhTxbmUy+eXEM33n/ERUlSDxAdqIPMtdLmr0XnHrd8QA5HDTuygEwt5FoUwDxVNaxAbJMWBxQDHIFT3G3SSzKHU9rQYDsMcgePDgWPEBuCwfQLPlnzpdYy73jzrV464mG8bbD5gJgeulKbJ68jFovHfJgPGm66MqWPZMAgLkdlbXfoviJwxlkmRUuJbFwS7lpPgAumdVqSJ/PNcgj02lkc87yeObB4IGSpFeNxRtHuygk5Kxj4tiv5IuEAj60RUrzhNwL2Q0MMqVUcrEob/PmFh9k3j/oMeJBvw8RZeLmMcgePDgYIkGvvXCQn9Meho+wSlkDYwksKuOk0Ghwl4fls6P4zSXHVGRWgn6CTI7WpVjI+k0DuPy25+EjBATAdetWV9R0r980gNuf3Q0AePR1lnRY7j1OZfK0GJZ0xaUkFjERIDszQOEQ1mgVioRwcAaZUnZspaqgNQJcb9thMqCMOTRJjwf81QTIHc1BDIwlHM8g90SbQEjplaVmhXF1A4OcyOSQUgoDlXSxcFmhkEr9QzQcQCKTQ9wmVw6PQfbQUFTDCjoR+yaYVndOe6EkIej3CU3y7vGZurfLDDhjNK8jUpHNI4QIOye7CxwMxpO4cv1mZHKUWUcZsANjSYebhc4wVyHpEAA6HBqoaMHlBX4fKRmMuaXcdKXCBlrIVc+cpuvn/tlmJRYdDp2Y1cIgc5/0l/fFHdm3VyoSwtGsMJRucLGQJ8MlfZDrUH3OShjWVHsuFh4ONKzfNIC1NzyAi3/xhGtKMZfCPqXDnaNjGcR1yANjzi4SYnZAbFeWJu2WWPSPJuD3F7I8BKSsHVj/aKJIc1zJQqzTJS4W3Lot1hKCr4SuOuaCJD1AWkI1yCC3R4IIKteCk7yQM7m8SHyqNklvfCaNvIMcYWoJkLkm9M/P73Fk316pSAgHr6bnBh/kManQTDnGFXCHD3IinUNC8dEufTz2unJ4AbKHhmAwnsQXb3seySwbWNxSirkUSjHIAIR7wu4DLECuly1aXyyCbK4wcEhkcogES3dffbEI0tlCjWolCzHOxjqdQR4RFm+l2S816Mo4TqvLQSmVdLvGAmRCiCO9kGVLtGo1yHlqn11VNeD9gRkHC4D17S/sZtr/TI46sm+vVCSEQ2iQ3cAgK/1WwEdExTwtuM1bMpNHxqH9AofcD5daYeIBv2fz5uGAQv9oAlquxA2lmEtBLhKiBU/UcwuDbHRArFexkJ5oGJ9Yu6Ro+5dufwFPbB/RHXh7omGcuIxZiBlJOgTqF/DXinJV9Di6pNectnTPEU9lhXOKUYkF4EyrN/k3Nu2DLCVUvT44ZVmbasVklQwyW70p3Oa0vl0tEmKQQXaBBln2QC6lq26VAudph+uQjUhG2jwG2cOBCL0iAdPpLII+4jpNMqUU+ydYh9vbXtzhzutQGORx5wwQejA7ILbXsdz0UYtiAAA/AW5892EAgE27xvHBn5WW5/Bl0XNX9+Lhy06pmNTHg7SpVLaIfXYSOIPcVUaWIA8oTpVZyK4NZoJKJ1q9yW4NZgPKh18dEv9f8NONjpEj8Ikv1xMbRV8sAq1SpNLqTb0xpBAasypokN3kYlFJrwvUxzvYKvBxxUcKi4LIEJIRL0D2cCChJxpGn8Ks8slungLn/fejuMhlmuTR6TTSynKVHiPBJRZ7JxKOXtYyLbFQBs56WDmJ4L05hJMPniX0xelcXncJN5PL4/nd4wCAs1f3GrIQk3VuTi6hPSwY5NKDe2dzSNxXTi03XcC6GtQgA85kkPlgbtYzeDCexFfvfFE8T+ecI0dQXSzMmV31RMNYt2YeAIDA2OpNPUEpFaswFZP0QjxJzwUMsvAMLt1/ywyy050sRkUCb+lcCzVJrwESC0LIgmoetrTUwwEHCnbRf+KkJbj4+IUAWJA85TJNMpdXAPoMMk/Sy9PCgiJOg/kkvfoxyJztaAsH0D+aEP6XHNol3Jf2TiKZYZORNQs6DX2HrB2125mjFggGuUyALDtcOJ1BDvoJWkLGg0onapCrLTPdP5pA0Fc4DDtFjiD6A5OaagA45eAeAEAk5De0elNPjM1kkFFyGgK+8hxhi7B5c3YwCUgMcpnJZouLAuRKZbOBxifp7QCwvYqHBxtwoFiicfByuUcu7MTbD5+HpoAzB4pK4EFvKODTTdCRg2an6pAzubxgSYwn6dVHgwyoSRhtkaBS9a+QiU/nCpdwN+0cAwDMbQ8XeVOXgryU7FTdLiCXmS4fjDndC3lMYojKedFqwRnk/rEZx/SFfEJlVl7RF4sgkzeXTFovWFEoZCadE2XPnYJbNu4U/1/yqyfLrlQKBtkNLhbS/VQKoYBPjLNOr6ZnRjLSqAD5Wp3Hs8pr9wD4nvK4FwAF8IyyjweLsX7TANbeeGBYogHMwoUnPnS3NukOCE4ZKCpBTtDTG+jDQb9YynOqDlkOcs0GyPUoFMIlFtFwAD3RMK47f3XBhOrCYxcULOFu2jUOgE2+jCIU8IklSKc6WVBKRaGQWWUYZAAiMJELizgJ1bKuW5VEtj3jScf0hfz+MXss/FrmK8gBH3GEHCEpFZ2oKkCW3mPX8nc1GIwn8b37XhPPUxU81Tnjms7lHZ2XABhjkAEpqHQ6gyxKt5e+/lQGuQESC0rp1ZTSa/gDwGsAFgM4ilL6VkrpvyuPswAcA2ApgFdtaekbGLzoQTJzYFiiAYUJNrNam9ATDeP6davFtqDfGQOFEXAGuRxTOU84WTizWIgcIJcrvSqDD4ITMxlQaq9/q2CQlQ5x3Zr5eOTyU7BqbhuAYp/STbsYg2xUXsGhykacGVTGU1mhdzfOIDtHiiBDXUI1HoANxpO45Yl+8dwpfaGRwbwU1q2Zj5MPmgUAOO+IeY6QI0xWMWGWIb/HSa4wZv3RmyXpT8LhOmRRda7CJE1U03M4g8wn0OUCfn4sTnGx+CKAH1JKn9W+QCndBOBHAK6woF0VQQhpIoTcQAjZQwhJEEIeJ4ScZuB9xxBC/psQ8jQhJE0IcY4zewno6dT8pHyhBKdDNvnvjrIbYN2a+Vg9jwU8Fx23yBEDhRGIALmMZRDXITvVC7k6Bpmdt3QuLwzd7cJkgmuQ1bb1RMM4X7lG7nt5vyiyMBhPCinLkQs6TH1Pp6im55xBXcawpLstl6QHALFW90gsjKJ/NCEKhXA4QYql+jmbDyYBiJLZKYck8RZOmGsLkJ2U8KrnqV5upZK7WADO1yGPGiy60+qSYiFGNMht/FjSWVuK7JgNkJcDGCzz+n5ln3rgZgCfA/C/AD4DIA/gLkLIcRXedw6AS5X/t9rWOgvRF4sI1ohjOp3DdDLrWl0yH+ibQ340S53Q0lmtANSb3Q3gEgu9BD0ObvXmVA0yH8SCflKUAFcK9WSJ4kKDXMhun76SJQMNT6Xx7MA4AOAZRV4R8vtwqMIwG0WnKPvrzOtvxIA3KIcoN+1QiYXZIiGAEuDkjQc49YKwRDMpseBor6Oe3wiqmTDLaG0KCKbWKccEsEk17zOM+KNzH2TA2U4WlFJDASXgHgbZmAaZXZuUsiDZapgNkPcCWEd0hJaEEB+AdwHYZ0XDyoEQcgyA9wO4jFJ6GaX0JgCnAtgF4IYKb/8xgDZK6VEA/m5vS61BTzSMfzu1eN5x6a+fxInfdKcuebhENbC+GGNa+0edKUXQA2eQy5nO82IhTtUgyx7IRhOmOurIEk0mixlkAFjY1YKDZrNJ1b1b9gNQ5RWr5rWhKWDcHQFQA5wJhzLIPEEv2hSoaCfW5fAkPVUzaTwA64mG8Y3zVonnIYdIsYTEoopgkr2PX3fOOFd88hIJ+k3fQwCreNhep0JCZsFX847o66josCEzyE6upicX3SkXUAJqNT23aJDLu1jY6+tsNkD+KYCTAfydEPJWQshi5XE2WLB5EoCbLG6jHt4NIAPgZ3wDpTQJ4OcATiSE9JZ6I6V0P6XUmVFKGRw0JwqAMXy3fuLNmNXahFSOIp1zpy55uEQ1sL5OHiC75xTxALksg6wEyHvGE0UFUpyAySrKyrbVkUEu177TV84GANz7EguQn9k5DsC8/hhQi4U4lUEeUiaWreFAxXs9pkw+nRogVyOxAIB3H92HTuU6+MrbD3WEFKtWiYXTgslaHCw4nHZMHDyfYUGsueLESl5N0+Y5OAkFRXcqTDjtLq5hBSilhibQhQGy9deZ2QD5mwC+D+A0AH8B8Lry+DMYg/sjSun1lrZQH0cCeJlSqq3L+QSYN/kRdWhDXbFLYVQXdbXgmMVduPadh0JL9DlBi2cUpYodcAZ5fzyJpM26VhnVSlWmUlkxE59dJkDmRVGyeerISUw1A6LfR4QGzO5iIXxQkztEjtMPYQHyq/unsHVoShQIWWPCwYKjQ0gsnDWoczzyGqu6tn+ysoMDZ5DHZtK26PNqRbUBMgB0Ka4wTplsViMXkVFPRxgjsCJAbnNqgMzzGQwcm89HpGIhzg0ojZRl5hASCwczyAnJRaVc/xCVVhTtYJBNlcihLFX9s4SQ/wZwHpijBQBsA3AnpfQVa5tXEr0Aduts36v8nWvllxFCxivs0m7l9+mBSw4WKAHkUYs64ScEWck9wAlaPKMoVeyAt59SJkfgmmQ7sX7TAK5cvxk+H0E+T3HdutWGWSm58Ec5Bnluh3peBsYS6G131nmqdkDsaA5hMpmtA4OsL7EAgCPmd6C7NYThqTR+cN9rpguEyOgU5bOdx7oOxpO47yWWApKnqoPDicu7dZkwPlDmKQu8Kg2c9QSlVLV5MyGx4ODLyE5gxzO5vAg2qpVYyGxrPk9LVg6rFw5kBpm3p1T5Yi2aQwHMSLakTgSfbDYFfBVzSNQkPecGyAVVNg34OqeyeUcwyAAASumrlNIbKaWfUh7/WcfgGAAiAPS8i5LS6wcUOIPMGdaeaBgfOWGReD0ccFY5z0rgLhazNBKL3vYIAsrgUA8dsrDQy7JCGckKvpha7FcS9HykvC9tcyggGD0nOllUHyDbPwhmJJcMPdbH5yM4bQVjke94bg8ANlkxWiBERqeDGWS91aFyq0ZdUkDsNKu3RCYnfGWrYV1Vt5HGB8jytV91kl5ETTZygjZ0ogrJlRZ8suA0PT9fjTLa17U08WIhjT8vpTA6rVqiVcohsdsazQoUSkYq+TrbV02vqgCZENJCCDmdEHIhIWS21Y0ygAQAvWgkLL1uGSilHeUeACas/D497NIwyADw7qP6xP/rP328I7R4RiEkFtHC0+j3EaHXrUeAXGupV84gd7c2IeAvfzs52Qu52gBZ+AbbGCDLHV8pj2Yus+ALKtWwx4DqJjA+k7bd29ks+mIR5KlxBwd5YHGak0XBknAVQaWTqgTKqw2dVWqQZe2yEwLKyQOYQZ4s4YhTCtxlydEM8rRxuZJafc5Z50UGv69lGV8p8NcnnRAgE0I+BSZvuBvArwEcqmzvIYQkCSGXlnu/RdgLJrPQgm/bU4c21A35PC2SWADA3A6VIUtnnTWYVwK3edPzcuXH2F8HprXWUq9GLN44nOxkUXOAbOOgLhctKLUseuKy7oLKest7qpPm8AEmk6OOGxB7omG0K8ffFPBVtKgK+n1i8HBCIClj3OASaik4yY5PPpb2GpP0AGDcZj2/EYwL27raA2QnHI8MPgExKrFoCbmAQTbogQy4Q4Nspgy9nQG/qQCZEPIusGIgDwD4GFhCHACAUjoI4G9g2mS78SyAFYQQ7Sh4rPL3uTq0oW4YmkoJwfqCLjVAjoaDiCoX+14HBl2lkMrmxGxPL0DmNjy7RuxnWnmpV/kWNCNVMWLxxuFkL+QJReNbvcTCvkFwUur49JL0ACAS8mPZrBbx/L8f3FqV7aHMADpNh0wpFV6s/3HmwRUtqgBV4z/isACZB+w+UvqcloPKIDeeBeMBcnOoOks0wHm+wdZqkJ0TiOXzVEhYjB5bc5OLGGQzAbKDJRZmLCCdJLH4AoAHKKXnA7hD5/WnAKzS2W41/gggCBakA2CV9QB8BMCjlNI9yrYFhJAVdWiPrdglSQ24DRpHr8IiO5GVLAV5uVdr8wbIDHJ9pAjr1sxHVFlu8xHgHYcbz/Hca8DijcPJ1fSqsXkDVP9Wexlk1vH5SKEvqYzBeBKvDqqmNulcdbaHsoZ0+9B0Fa21D+MzGVEw6LilXYYmcU6SIsiQGaJqEtIEg+yA46rVAxko9A12QmlmKwPkSQcE/BxT6ayQYRnt65qD7nGxiBlg/HmS3nQ65xgXGC0GlJinVH8vwzEMMoDVADaUeX0vgJ7qm2MMlNKNAP4A4Eal3PTHAdwPYCGAy6Vdfw3gJfm9hJCFhJAvEUK+BOAYZduXlMfb7W57NeBM6qxoEyKhQoaCuyPsnXCedVgpDBeUmS5mkLm8oV7FQvJ5KmbTeaoWMTECnqRXzuKNQzDI4wnH2W45OUkvLizegiWDqf7RRBF7V43t4b1b1DpHH/3Vk44qvjMolZnuaStfZprDqQFyrb7BMcnCrtFacXHvVJmgx9HhIM2uJQGyw6oDAoX6buMMMutXHO2DbKCoBke0ST1uJ5bPXr9pADf/cycA4LmB8Yp9sBogN55BzlV4z1wA9aJdPgzge8rf74MxyudQSh+t8L7FAL6mPHhZav78XfY0tTboJehxcLuwPS5ikHmAHAr4hEREBj/OyWS2LgkrU+ks5Hh1z4Tx39IMg8yT9NLZPIYd5CqQlWyqzA6InIXZP5m0zd/ZSFINK0FcvZYcYCz0Vbe/oL4/Rx1VfIe3w+8j6GoxFiBzJwt5UuoEqEuotfkGp7Kqw0mjwIP9ahP0OJwUUFrJIE+lssjk8hX2rg9kuZZxDTLrd5zMIPO+IeivvBojS5qcJrPgrlKc2c5TVOyDnSSxeA7AWXovKKWm3wPgyVobZQSU0iSl9AuU0l5KaZhSegyl9F7NPidTSolm24OUUlLicXE92m4Wegl6HPMUicUeVzHISpnpEpY0soykHjILbRC+z+Bvmc7mMaIEuoY0yJ2FXshOgZz9a3ZAfGnPJAB2Tu0qd17OA5mDa8nDQZ9Shtm87WGtjiZ2Y/+kWn3Sb1CW4FwGWZElVMm6xgos7Bp7bEJiUWuALCQWjT2epGTBV4vNm9yXOEVmMSnpoVsNat8Fg+xQDfL6TQPYOcL6qO/e+1rFPlg+bqcl6lXTBztJYvFDAGcTQr4GIMY/gxByMJjk4VAwNteDhdB6IMvgDLKbkvRKWbxxdDQHRSLBrjrILLSMjVE2fjCeFHo2I4U/2sJB4SrgJB2yfPxmAuTBeBK/3bhLPLer3Hm5Knoy1q2Zj4cvOwU3f/QYQwlsWtTqaGI3+O9qJuh3aoA8WiPrKi8lj9mYqGekwua4YFsPDIlFtf2BFvJ7G31MHLwd0XDA8CRTMMgOCyYBhXFdv1k8N7Lq1Sqt2jrNC7maPtgxDDKl9PcArgNwFVRt798AbAFwPoBrKKV3WdpCD+UlFgqDPDSVErN+p2M4rjDIJQprEELEZKAeOmRt522UQeb6YwCYY4BBBtREvY3bRh2zdF/tgNg/mkBAs6RnB+MqEggNLIn2RMM4amFnVQVzOAvNx00/IY4qvjM4yVcrjMkrAKBLSYJ1movFuAnNpB6iTQFRUGjUJsZ1/aYBrL3xAVz8iyfKro5MWCWxcEiSnvz9tbDiBd7ODgmQhVzLoLwCgCg17UQGuX80Ab/JPrgp4BNSDKcxyLwP5gj6K/fBTtIgg1L6JQBHg+l/7wLzQ/4hgGMopdda2zwPiXROJOfoSyzU0sxywOZkCAZZx8GCo48XC6mHxELTee81+Dvum2DH0RzyI54yNgBwRcnvn9plmyTBLPjx+31EDAZG0BeLFGVB28G48o6vluVeo1i3Zj7epTDPJy3vclTxHT6hmmWKQWbB9Nh045PZZMguFtWAECKCazucLESFzUwe8VS27OqIZRIL5bewM5g0wohbxSBHgn4RiDkmQK7Craelybka5L5YBJmsuT6YEOJoq7ezV6klLn78wTUV++A2B0ksAACU0k2U0s9TSs+llJ5DKf0MpfQpqxvnobDqml6ALJfTdYvVmxogl2bC+LHuqoP+syhANvg7/v3FvQCYZs9IsDsYT+LlfXEAbCnMLkmCWcgJOZVM2WX0RMO4fp252X41qIb1qQWc5Y87LGudM8g9JaRJeuBJetk8LdBfNhpcFlFNFT0O/l475CP9o4miJfhSzJzqyOFsicX6TQNYe8MDuOgXG8sz4gnV1zlYoTpoOcjWdU4LkNsNVtEDJAbZYf0BwPrgD715gXhuNPeC65CnDBI79YScUHxQT1vF/bnEYiqVtZwEqP7q91AXcHlFKODTHRibAn4RaO414b7QSBgJkLnEYqAOEgvtkqYRicVgPIm/bGaWYHlqTH9rZtCtJ2rJWF+3Zj4WKcVr/u3U5bYwriJJz8SgVgu6o4oswWHOD3wlyajFG6BKLACIhFInwArWtVMpImBHNb2+WASZnIaZy+kzc/z+qcUHGbBXYiEY8WweU6lc2f7KCgcLjjanBcjJygm/WjjdxWLxLFYvbU5bk+Hci9Ym+3S7tUK2s5xlgAzgEos8tV4GU3bEIYT8oorPpJTSS6psjwcNRIJeZ6SkB+zcjjCGp1LYM+4WiYWiQS5z8XMGeWCMeQZXU0zAKHjnHfARZPMU++Mp5PK0bBLH1sGpIi9jHuyWmr33xSJFM1wnJIFVWySEoy/WjB0jM5iyaQCZlHyQ6wFuoTZiwg/bblBKRTAzu4okPYAxrUtmWd4000hmcqIiYLUaZMDeBMSeaBgfPWERfvLQNrHt3MN6i+7tdFa1SKyZQbbR5o27AySh5qmU6q+sDJAFg+yA4ieAemxm+jruYjGTztk+FlWDQUUSuCDWYnj1LurgctNDSj8XbQoU1X3QgzwuxJOZgiTEWlHpky7W2cZHeO1VQpVtFIAXIFuEcgl6HHPbI3h+YMIVXsjZXF4wPmU1yErQmM7lsT+eNOQSUS14p7mspxUv74sjl6cYiqcK5CtaPD8wAe1iTqVgly2HLcQvHt0BwPhyWLUYjCfRP5pAXyxS9jtqHRB5gqLR5EazUJP06sQgK9cl057mEA5WVz7YSkwmmQ4WMMcgNwX8aG0KYCqVdUyinsyQVqtBlt9rB4MMACt7C5d3n9gximwuj4AkO5CD2VqT9HiAnMjkkMrmqi5brQc9d4B0BUbcCs2/U5w5OCar6Ovkam6JTE5okp0Cbv9opFgVh5BYOJBBHlIYZCPsMVDobhRPZtHbbl1bykosKKU++QFgNoBnwcpMHw+gQ3mcAOBOAJuUfTxYhHIeyBzcycINAfLoTFpYo5WTWMyXvJB5JUG7wDvNFXOiYls5uUo+T/H7J/sBMKcDM7675x6mJiDc/dm32JYEtn7TAE785gP4cAW9IVDdoCGDF0mxq5pjPZP0AKBLui6dYo82JC2Fm51QOc3qTQ5oawkq7T4uvoLQ2RwEIYyF/fPzewv2kT2LtQGoWdhpi6Z1BwCAtx9ezIgDwIRyTJYyyE4JkKvIZ2hpUicqTqw8t1+sLBmfOLc6mkEubwOrRaFtnbXXmVkN8n8BGKSUrqOUPk4pnVQe/6SUng9gWNnHg0Uo54HMMZd7IbugWAi3eAPKB8jhoF9orvtt9gzmnXdvR0TMRsv9lve9PIhtw6xg5G8vPdaU725MqoCmteexCoPxJL5422akc3lMV9AbAjKDXB0zMke5/uxgkHN5injKvG6wFhTodh0is+AJeoSUX3nRg+MCZKkdtQRhgkG2yQeZ50qs7G3DOavZxPbHD24tkFbd8ewe8f+6Hz1WkyuN7KNshyTh/CPnQe5ySvVxVmmqAUlX7ZAAWWXHzSTpqfvOODBRTzDIBq1GAZVBjjsxQJ4yxyCHg36ElFWdSYsZcbMB8jkA/lTm9T8p+3iwAJRSYxKLDveUm+aDjt9HKnbAC+rkhTyeUBkTI2zoTx9musSTD56FNy/pMuW7K2ft22FPBUA36a9cMmCtEgv+m+2bSFqeRSwvAdYrSS/aFBAdrlNKgvPEla6WpoIlfiPgThYv7ZlsuGMKAIzNqNeb2WORIQJ/myQWfHLU1dqET71lKQDglf1x3PTINgzGk3hp7yT++8HXxf7JbG2uNPL9Z0dAOZ3OQc47/OfWEd1EVFs0yA4JkHnCb7USC0cyyIoG2Yz0Kupgm7dq3Hrs8kI22zs1AShHk81X9vFgAYamUkJ3uKCrssRiMpl15JKJDB4gd7WEKiY71KtYiMyYVKpM+MyuMTyxYxQA8PGTlpj+LrmCk12MXl8sgqyJakQ1a5CVADmdy1t+TJPSklm9GGRCiGCRh+POCJDFIGhi0ODgy45/e3GfI7y3VQ/k2s6n7INsh8czd/3obg1h1bx2rJjD3AJu/NvLOP76+/H2HzwCTZ5uTa40oYBPWIrZwSDLQSohLOv/7y/uL7mfJQGyQgg4ptR0FRILOVEs4bBiIalsTvS5phhkJ0ssTDLIgH3lps0GyP8A8P8IIWu1LxBC3gLg/wF41IqGeSgMDPs6SwfIvFgI4PyS00Ys3jjqVSxkQmK0BINcoljIzx7ZDgA4dG4bjlvaZfq7fD4ilobtCpB7ouGC4KOSP7FVDDJgvcxHHtTrFSADzqtAV43FG3tfEk/vGgfAvJCd4L3NV05qcbAA1NWYrCTDsRJD3G2ntQmD8SS2DbF+KE/Zd+oVLq3VlabDRkmCrJdeu5zZmdz1wt6i/fjEwGeBCayTGORMLi/cU8zkM4QCPrGi5LRqekPSBN5oNVfAJUl6BmIEDrvKTZu9Bf4dQAbAA4SQjYSQXymPjQDuV177vKUtfAODyyu6W0NlM2e7W5tE2VWnFwsxYvHG0SeKhdgXIMsa1/YKDPIzO8fw181sQPn42iWmimrIiCn+rXYFyMyxQB2QPvGWpWX10bUGyO2RIMJB1pVYXc1R7vBa6+RiAagTOKd4IfMA2YzFG6CUA3eY9/aYKM1cW4DMfZABe+RKI9JqV/9oAk2BwuEy5Cf4+ElLEA76TCXqloOdvsH8MwkBPnBMHwDgsa0jBf3Q+k0D2DnCro3v3vtazasNTimfDRSy2Gb7OmH15jDGleuPAXOTZ6cyyPk8FSSaExhkUyMOpXQLIWQNgOsAvA3Am5SXpgD8HsCXKKXbSr3/jQyjllsydikdVbkEPYDpeee0hzEwlnB8oh5fsjaSaMSPe/9kyja7rXgyI1w12iQGWZtwtn7TAL7wx+eFtVtajz4yCLvtqV5RqvVxlJMJ5PK0ZpcIQgjmtIWxY2TG8utPeCA3Bcr6UlsNp3khD1ahMwSY3CbvMO9tq0ozaz2eF3a11PR5WoxIDLKeTZrPR/CxtYvxsbWLTfftpSC8kG3oG/hKWbQpgJMP7kFLyI/pdA53v7gP7z9mAQbjSVyxfrPYP5OjuHLDZpy4vLvq4+KBaCKTQzqbRyjQuNpkkzXkM7SEAhifyTiOQeb9QjQcKEgmrAS7AspaMZ7IiAI9Zq45p2iQQSndQSm9AEA7gF7l0UEpvcALjvWxftMATrrhAVz8iydMaQCNJOhxcCcLpyfqDStshZHlE/m4nx+YsKU9ExpWgetpebEQQKlCtX6zeA4AX77jhaqXqe1evn9532TBc+64oQe5g6xFczinxMSiVtRaxKRa8AncsNMkFiY1yD3RMC4+bpF4brf3thHwALmWMtMAEAn6Batr9WRzJp1FIsOCoa7WkLBJ02OLe6JhU4m65WCn6wP/zI7mEMJBP05dyRxZ/6Ksij3fP4FMrnASUOtqg53WdWZRi1yLa8OdVk1vnxIgm9EfA2olPTvKM9eCIZNV9DicIrEQoAz7lUdtBpAHMPisPJXNK4UHjGsAjXggc6heyO5gkLsMMMiPvT4s/r/wZ4/bklwkd5odzUHMVX5HXiwEYMvU2oTCWgYO1Z7KnuDrpb0sQOYKkB1lAmTtBKFa9NpkNchZn2gd5RWANIlxisRCMMjmg7C3HT5X/H/Xv51km/e2UQiJRY0aZEKIZGFnbfClZ0e5bs18PHzZKaZsHc2iQ7F6s1Niwe/zc1fPAQA8+vowfvfkLlx1++aipMOaNdXNzgmQ+WQ74CMi4DWKZkWSMO0wmzfV4s3cxLlVKs884yBWnI+5PlK4QlQJjpBYcBBClgNYDqALxRX1QCn9dY3tOmBQznKrEuOwXQlsjCxFusXqzWiS3mA8iS/d8YJ4bsVynx54p+33EbQ2BUCkin17JxKY0x5GXyxSJKmoZeCw25f25b1MYnHMohg2bh/FYDyFqVRWtwSnVQGyYJAnrb3+1Cp69WWQnSSxmEplxdJuNS4W8kDjhDK5IkmvRgaZf8beiaTlk03Z3k+ezHPG2C7wvt4OzS7/TP4dJx/cg6CfIJOj+OJtTFrhA/NnDwf8yOTzNa82OIlBFg4WkaDp/JHmoDMZ5MGqGWR1LJhKZR1THXBoih1PV2uTKUkdZ5Ct9kE29asQQmYD+BWAM/gmnd0oAC9AVtAXixQszQPGgqvfP7lL2J3ccNcr6GwOlWUs5gr/XucGyPk8FbKCSgFy/2gCQZ8PSaiBqdGJhRkI4/hwAISwIDkaDiCezGLvRBJHgg2Ky3pa8PK+KQR9BP4KrhCVwAMWOzTI+TzFy4oG+ZzVvdi4nVnS7Riexqp5xTU4tROEamFXNT11UGsQgzydAqW06oRMKzAoJT5WwyAXFD6xQatrFlbZvAH2eSHziVFzyG9K21kr2myUWGgZ5MlkpmhsCvh9uP1fj0cinbdEUx0O+hEK+JDO5jGRaOxkU+7rzYJX03McgxyvLkDWlmee3VZm5zqCeyCbcbAA1HNqtcTC7JXyQ7Dg+MdgrhUjlrbmAERPNIw3LerEP7exQIUAFYOrwXgSX77jRfE8nctXZE8Fg6wUa2jkgF4K4wm1Q64UIOslxdiRXDQ+UzhoACzYiyenRLCXzeUxMMb+/5dTluLCNy+saeCwk0HePZ4QmcknLOsSwf72CgEynyBUC24xtM/i608kENaZQebXZyZHMZnIot2CYK5aDMq6PJMDB8AqgYWDPiQzeYw2mBHP5PLinHZYwSC32CNXEg4WJqsW1grO7trhGzwhFUQCIJw5Ehm1n20K+JBI53HUwk7Lvrc9EsRQPNV4BrmKIiEcfJLkNAZZSCxMrizJAXL/6AyW9bRa2q5qMVSlnaVTfJDPAPATSum/UkrXU0of0ntY2sIDAPLyBQWwZkH5zqd/NAFtFeJKmleuAU1n847xbtViWNJzdkfLDzw8KYavsvhJbaxtKQhWRRqs1dLJ7Pd+cc+kCDrf96YFNbdBdbHIFJSttQJcf9wU8GFRVwuWdDO2sJQOecKiJDh+/c2kc5YuczUqSU8OjBpdTY8HyLGWUNUuAFwy0uhy07J0wIzGsBRizfZYJqoFjepb90q1RbP+PGklFn2xCLS9jx0kBPd2tqP4iRnIEguzEAyyg/S6ALB/ojoG+a7Nqv/1J37zVMOLB3GIIiEmiQCnJOn5ADxnaQveANin8Ya964V9ZfdnldDMyTIKi4U4M1GPJ+gRYiyDfd2a+XiHkmB06soeW5JiJhPFDDKXq+xROp/Ht7GFkgWxZsHU1wIeGMgWa1bhJUV/fNDsKAJ+HxYpAfL2CgFyrVWz5kjFQqx0slArX9VZYiEFRo3WIQ/WUEWPwymFT+TAzwqJRadNcqXhKWNSMKshJ+lZPXnW3uvlnDmshFospLHs60QN+QyCQXaQb/B0Kis8/Ge3Gz9ng/Ekrrpdze9JK/k9TihDL4qEVMmIW+3KYTZAfgTA4ZZ9+xsE+yYKvX/1qhfJ6ImGccrBPQBYNqeRjqstEhCZuU4tFsJnh7HmEAJ+Y5cenxnX4jtcDnoBotayjOt437wkZsl3yszZiMXsJLd4W9kbBQAs5gHyiL0BcldLCEFl2cNKHTxfFo3WWWIRCvhEUN5oJ4vBKgcNGaqsx95jGYwn8fTOsZKDrcz0WiGxsEuupOZKNEZikafAlMXL+YJBjqjHVA9nDtW6rrGTs1pWo1pCnEF2ToAsS6/MMMg8v0dGo4sHcVTb1/HxIZenlrpyVFNJ73xCyLssa8EBjkwuL4KgC45dCIB5+vZXqA7Hl+GPW9JlqOMihEiJUo2/0PUwUgUrY7ehuapBVhnKuVI1vWwujydFgGy+tLQe5ADZauaLJ+itmMOyLhZXYJCtkjD4fER00rYwyHVO0gPU67TRXsjVZqrL4NecnQzyH57qx/HX348Lfvo4TrzhAfzxqf6igJlbvLU2BSwpGiHLlayEGTtKK1Hg+mDxMYnVMg1zb6WPsx6cUm56UhREMt+XcJs3J1miyVVLzUgS6pXfUw2EBtnktShrqq2sDmj2SvkxWNW8WwkhewBsA6C9Yiil9DQrGncgYDCeEpXa3n5YL27ZuBPDU2n87YV9uHTtkpLv26tc/IfMbTN8scztiGDr0LRjrd6Gq0h8sUtbxME7bZlVkYuFbN49IZaxjrUoQA4H/WgO+TGTzlnq3zqTzmKHwhSv7C0MkMdnMhibThd5z1rFIAMsUW9gLFEkKaoFjUrSA9h1um142jYG2Wh1zWqLhMjostlacDCexJUbNiObp0Ie9h9/fB4+AgT9PpacvG61WAmqtYoeBw/8x2fSyOWpZdUWOalRdw2yxje4z6LPzeTyoh+z4l43Az75tiPx0AxqkVgIBtlBEgseIHeZzE3g0pr/+MNzyFPmYNTo4kEAkMrmxDmqVmIBMDKtFjJBhtkp/BIAQQC7AGQBLACwWPMoHfW9ASGzaXM7IjjrUGbO/tcKMgueIDan3fisTlTTc2i5aaMeyDL4bH/SJgZZL0DkTHwuT/GX59l56otFCnTetYIzX1Yueb+yLy4mYyvmMIkF1yAD+jILSwNki6vp5fNUrBzUO0kPUIOjYRsC5PWbBrD2RmPVNa0IkGM2J+n1jyZ0nUvyFEhl80hm87j8tueFBMiqwi/8PspTawMwsdpVw29eDVpDAZGYbKUXsvzbWDU5MQpRPrvBAXK8hr6Oa5DHZzKO0OoCaoBcjfXjujXzcfaqXgDAWYfMbnjxIEDV/QPmA2R50mNlkripAJlSuohSurjSw7LWHQDYL9VKb2kK4JzV7KJ8Ztd4WaaXW4zNNSG+5wlkr+2PO+YmlsG10WaqGEWb6sMgFwTIUiB8x3N7AABvXmwNe8xhRwUwnqA3py0smOK2cFDoKPWcLKwMkK32Qp5OZ0Vlr0YxyID1SXqcbU1mjFXXrGUg5OAMsl0Jh3p+71pkchQ3P7YTAJvMWZE539miXhdWeSHn8lR8VrcFThtm4PMRWyQJVhUEqgbOkVhUP9nePDAOgEmUKk1o6wVu8TbHpCUaB68aO5NxhmxE9ns3GyA3BXwiB8bKWKF2EVgDQAhpIoTcQAjZQwhJEEIeJ4QYknUQQuYRQm4lhIwTQiYJIbcTQmwL6nmwwH1ij10cE9nbP31km+6gOJXKipM8x0SAvGeC6Zpf2z/lmJuYY/2mATy2lblB/PHpAcNt40zTTDqHbM76RD09DW5rUwBRRXPGNVFWySs47CgWok3Q41jUVVqHbC2DzO3xrAmQZSagERrkrlZ7qumZSZJJZnKiLzBbTlaG3dUbe6JhHD6f+WwHfARNASIGLD3kKSzJnJer8VnlhTw6nRYrMV11drEA1ORFK5Pa5MIjspysHlCt6xoXIFNKq+7rBuNJ/PaJXeJ5pQltvbC/xtwEuzzEqwUfa5tDftNFqwghkhzTuuusqgCZELKIEPIxQshVhJBFyrYQIWQBIaQed9/NAD4H4H8BfAZAHsBdhJDjyr2JENIK4AEAJwH4BoCvAlgD4EFCiHXO6BL4RcwD3YDfh4NmswDm14/t1A1k90lJdr0GJRaD8SQ2bNoNgHktO+UmBlTGjA862bxxWxk5cLWaRc5KujztsmNvR2Gnc+xiaxwsOGI2MHq8xPSK3sKySOUS9Woxz9fC6iRReVm43i4WgOpgYLUPspkkGV5ZCjCfuCIjphxLIpOzrdgB93s/97BePHL5qbjhXYcJC7GQvzhgtiJznuv5AeuCf9lZpt4uFoBUTc/CgJIHh6GAD+FgfXkxJzDIyUwemRwbgMxaRvaPJhD0O8/1gfcN1a4sddUhcdcMhAdylbKmqA3V9EzfKYSQGwC8BuAmANdC1RyHAWwB8C+WtU7/+48B8H4Al1FKL6OU3gTgVDBd9A0V3v4vAJYBOIdS+p+U0u8AOBPAPLCA23Ls0xh5D8aT2LRrDACQo1Q3kOWss99HDF8sTr2JgdpsZbQlMa2EzFBqA0RZ+z2/M4K+WLOl361m31vTOVFK8ZJgkAsD5FJeyPk8FcuOVmqQJ5NZS5JZ5PNtlWbVDLptYpB5kowcLn7xrSt1A2C5X6jF5q1Ltha0SWbBNYSr5rajJxousBC7/V9PKEqgsypz3up7if8+PmKNFZ1ZdNiQ1DYhVQytd5VVTj6ksnkkG7ScL+ewmJVY6MmHnOD6oJaZrq5fEPeNUwJkbvFW5aqNHY5XpgJkQsgnAHwBwI/AAktxp1FKJwHcCeDtlrVOH+8GkAHwM+m7kwB+DuBEQkhvhfc+Til9RnrvywDuA/BeOxrLM/q5xIKV9yzU4GqDRR4g90SbDGdlV1NcpF7oi0WQyVVnKxMtEN9by0CU0+X1SrPyw+d3WPq9gKpvtYr12j2eEAHlyjmFEgu5mp5soh5PZQWrbyWDDBQXx6kGPEBoDvmLJn/1AA8qJxIZy324162ZX1B0plRpVa4zbI8EEQ4a1+5rIVsL2iWz0CvPzC3EDultt60ohdV6fp6UGWsJWeaKYQZ2SBJ4gZaOBiS7yn1Lo5wsatFg90TDuOYdh4rnIb89BVXMgFKqkm9VtoPfN9PpXMMmLjJq9Xvn+UqvWpiDZXbU+RcAGyilnwXwjM7rzwM4uNZGVcCRAF6mlE5ptj8BFrAfofcmQogPwGEAntJ5+QkABxFCrKUJIemElOCBBbLlg0V+4ZvRH/dEw/jGeavE85DfGdYtAGvbFeesFM9DAeMdTLQpAE541DNAHpP0f3dv2We5nlt1sbAmWNm4jXk1B/1ESCo4OIM8nc6JWTpQOFhZESDPam0SGfhW6JDVKnr1H9SBQv2p1X7VAAoGpY1KtUYteEdfi4MFoPgOK5MMOwLkfJ6Kzy2l27WrKIXV1fQ4E15vizcOO1wfJiyUUpmFzNiONyhALpRrmV+Nev8xCxBRpCnfOH9Vw10fJhNZpJRJu5k4QYZs+dlIfTjHUI1uPXy8uOPZPZblYJkNkA8CcE+Z14cAdFffHEPoBaDnkca3zS3xvhiApjLvJcpnF0FJ6Cv5ANCu9z55lscZSb68ygMJP0FRsMgZ5F6TF/67j+4TBS+ufsehDb+JZZy4XL0sNnzqeMNt8/kIWkPWa4sAlVUJ+EiBs8ZgPIkHXh4UzzM2lOKMKdn3Vixvrd80gMtvex4AkM1R3Kk4b3DwJD2gUGYhD8BW2KgF/D5xHVvhZKEmUNZfXgEU6k/tsHqTDe15tUYthMVbDQl6AEtisbNYyGQyI1awuso4P9hRlCKmBJSWaZC5HWW0/vIKQGV5rU3SUxjkOlu8AZriJ40KkJXgKRz0Fa3gGgW3/NOu1DYC+6WxqNq+IdZs/6qSGVRbZhpgYzbPwcnk9KWr1cBsgJwE0FLm9YUAxqtujTFEAOiNVknp9VLvQ5XvrQoTiYzuLG/dmvm45ERmnLFybltRsCg8kNvMN4ezHpUsl+oNuWNcMqvV1HvtEN/LbepoLtTl1UPPzX1p46lsTcv3coEGgCVoajuGSMgvJlt6ATIhEK4dtWK28EKu/bfiGvFGJOgBjLkOKDPZYYt1u9lcXvQNAPDK/riYsMngiTjVLqPKsLPctPz7mPE5twJWZ+OPNJhBtiVJT2iQ6x/0NwX8IjHQ6uqARmGFWw+/Hhpdeh5QV6b9PlL1ddoWCQqizo4VMrOoJUDuH01Ak+ZkyZhtNkB+AsD5ei8QQsIAPgTg0ZpaVBkJMCZYi7D0eqn3oZr3Uko7yj0ATOi9T9Zhaq1YVs1jpPPAWPFXVssgAypDYHXp1Vohsqj95rOoeYBktX6tVJnlvlgEeWqvnjsm+bfW0jkZTYAUThYjxQFyWzgIn0VaS75SYgWDLIqENCBBD2CrF6rbiLWD4nSqUPNHKfDUjrGi/QbGmHVjS7h6/TGH8HW2gS2Sf59Ynb2DY1Yn6U0Xa6nrCZ4YaGmSnoV2jtWAW8s1jEFO1F6Rs9vG+8cseG7CrFbjeUpa+H1EXGuNZpAppTUFyH2xCDRDtiVjttkA+T8BHEcI+Q2YnhcA5hBCzgLwIID5AL5VU4sqYy/0pRB82x6d1wBgFIw9LvVeCn35RdXgQULQT4qWHZd0MxaVlwCWwQNrrdWYEdjtd1ot5GDUbBY1X2K3i0HWDhpcBmNHQhFHp0XLW32xCFIGEiCFk8VQcYBs5aBpZTU9Mag1aFAH7PNCnpKs1jjj+sSOQpnF+k0DeEKRXvzfxv6aNXWi3LQNLhY8aGgLB0yVvbUCqgbZmuBriFfRa4AHMiBLLCxM0pNWyxqBRlu9lSJDzEBlkBs/tmpzm6pFpyDUGntMk4ks0so4Vs042xMN4wPHqIXZrRqzzVbSuxfAp8DcIO5VNv8GwF8BHA7gUkrpP2tqUWU8C2CF4mks41jl73N6b6KU5gFsBnC0zsvHAniNUjpjVSMBYL9wowgXMXSLutV8wG3SsncinRNLa9UxyIrJvM0X/GA8iad3jhnW+KjBmHk20A4D8MI2FXeadiUUcXQ0h0TyYS1Lwz3RMM46ZDYAJqIv1TEIJwuJQa6msmEl8GvWEheLBifpAfZ5Ics2eKeumAWgMFFvMJ7Eles3g5MiZrzDS8HOctMjVZSRtwpWkwLqsTSGQW5XgpaZdM4y95RGM8jtNgT9ZmCJxEIwyM6RWMyuMXnXKYTa0FTtdpbvOGKe+P+ez73FkjHb9FRf8R1eDOCzAH4M4H8A/AeAZZTSm2tuUWX8EUAQwMf4BkJIE4CPAHiUUrpH2baAELJC571vJoQcKb33YDAf5T9Y3dB9otJN8QmPhoNiMJFLAMtFFuYYLBIio7MOEov1mwZw0g0P4EM/32g4W1T24TQLrkG22sWCT0RKWR/ZkVDE4fcR8b21LtlNKMz6qSt6SgbzPFFv2/A09k8ksX7TAH784FYAzBbHKpcOSxlkURq2MRILwD4v5KmCALkHAPDCnkmxvX80Ae1CS62aOlslFsLBov5BJV+NmUhkTFXbLDXJb7QGucOGpDbR1zWIQebMbaNs3iYtkGvZUdypWtRaRY/DajelasGTkQmpXqJlRZ6GFoavFoWx/T6AuyilfwDwA8tbYwCU0o2EkD8AuFHxPN4K4CKwBMGLpV1/DeAtQIEf/38DuBTAXwkh3waQBfDvYNKK71jdVm0VPS2WdLdgeCpVkDjFAwtCqrM7sdrySAvObMkJRldu2IwTl3eXDSRrKUjRJhjk+kgs6oXOlhDGZjI1natUNocntjPm8Z1Hzit5Dl4bZBm+2RzFm6+/D7Jci5f9rXQOjYBXfhyZTiOZydXk3cslFo1K0gOkalOWa5DZsfl9BMcv64aPsMTaTTvHsPagWZjXEUEyU513eCnYyRY1MqiUB9TxRMYQi71+0wCu3LAZQZ8PmXwe152/GuvWzMd0KouEYr/XKA1yoetDuqYCMQAvs5wu+ux6wg7rOjOYsEBiwa8rqxN2qwHXINdSfh6w3o+/WnD9caw5VLXnvezmsX8yaUlxL8MtUXyH3w+grdK+dcCHAXxP+ft9MEb5HEpp2QRBSmkcwMkA/gHgywC+BibZeAulVN+ItAZoq+hpoVcCmOuWZ7U2VXWhWF1VSov+0QQCVZSMraWDstvFolGDRpcFAcumneMikDp+aZfuPoPxJL5372viuZ6/iVUuHbIs6KU9kzV9VtwBEguhQbZ4AOEBckvIj7ZwEIfMZd0q1xz/4/VhcZ6aQ35LNHW2BsgNTGzrlBJetw5q7fGLwZ1fkhlWal62hBppoBsHR5vFDHIikxNllhstsWh0kp4VEouxmTTyDXaJGlTIt2rLTHPYHS8YRS0JehzhoF+cXz6BqBVmI7AtABZZ8s01gFKapJR+gVLaSykNU0qPUfTR8j4nU0qLssEopQOU0vdQStsppVFK6TsopdvsaOc+5SSV0hLrlQAWCXrVmn8rM/Vxi6pKadEXiyCdM+/wUEswKlwsbNIgNyoJzIrlrUdfHwbAykuXGtD1bOu0sMql47Gtw+L/9930eE3SDW7z1kiJBR8Uh+PWMshTiotFq2Kvd8wiNrl5YvsokpkcvnPPqwCAsw6djd9ccqwlOng+IZtKZZHKWls5SxTXaEBQ+dArQ+L/D/38iYrXXP9oAppaTWKCKGvNG8Ugh4N+RJSVFyus3uTPaETpbECuDtiYQMyKfAbZQrVRgT7AivJwScKcGgNkq6tQVgsrAmRAZdT3W5ADA5gPkG8E8ClCyEGWfPsBjko6IZlB5iWAuQa56uo4SgdYq79uKfREw7jouIXiOUFxoRM91BIg2+1i0ahBwwpG7x9KgHziMn32GFBKfWsigoAPaApY69IxGE/iq3e+KJ6nc6XN2rX6T+1zSqmaee6IJL10QZnuWjGlDNgtSoB87JIYAODZ/nH8/B/bsXs8gYCP4MpzVlqmg7ez3HSjEtsG40l8+Y4XxPNy1xzHQ68Oiox5jkyOTRA5g9wc8qM51LiJmZXlpmsps2wVVGYvaWnBJaNQyZDqz6l8bTcyUW9kOi1876uVI3AIBtkhEovaA2TWT+636Boze7WsANAPYDMh5M8AXgOgdX6glNKvWdE4NyOZyYlBqNQsb8ksFiAnMjnsn0xhTntYrbxXRYIeoCkfmUjbkmC2rKfQQOTsVboFCAtQS6nTRrhY1AOxGvXiE4kMnh8YBwCcsKx0AUtuW6fVXJ64vBv9own0xSKWXCfckzkJNfjgzJz8+es3DeDK9Zvh9xFk8xRvXTUbf3thP4J+9vy681fjravmiEGgoTZvCmuUzuYxlcpapoeeTjMGlwfIb1rEAuR0Lo9v3/0KAOCCYxdgoVQFsVbI+uCRqXTVfYweRJJenTXIRq85gAXTP35wK3756A4ALM+Dz3k+vnYJeqJhDE+xCpqNkldwdDQHsW8yaQlTKQfZjfIUf3Ufy4HYM57E2hsfEJrvemHSgr5eHluHp9JY1lNzs6rCLRt3iv8v/uUTuH5d9b+lIGlmGAFg1oLVKgxaFCDze37QIomF2bvlaul/3YIhYBLHN3yALJ+gUmzwgliz6KS3DU9hTnu4piIhQKG/7vhMxpYAed+EemwUwJa9EzhqYazse2rxoRQuFgnrGORMLo8ZJUhpdIBcbVb049tGkKfMZ/uYxeV//3Vr5usGxFZeH3pMtVa6wZM8k9Lqxh3PMvtxbuxw5YbNOHh2VLwebdCgDhQus49MpS0LkLlbBZdYxFpCmN3WhP2TKXB5I7fmswptkQACyqTESk11JpcXQVi9ZQlGrjmATcou++PzYtJ18OxW/OyiN+GCnz6O/rGEkI1xJrxR8gqONgtt0XiCXjQcQKBGxrEaDMaTuPXpfgBsvOCabyuSgo0gn6eIp2ovFBL0+9AeCWIikWmYk8VgPIkfPvC6eJ7K1vZb8qA/nWXjYYtFFVXNYi+3HA3W9v1z2hsrsVhs4LHEkpa5HOWq6HGEg37MVVicHcOMiOcMcrUSC9nGx67MVK3H7fMDuoUEC1CTxELp1NK5PJIZa7STTlh2rDVBguuP1yzoNLQcbKdtHf/8685fDb/CQvhIsfyGlQQtz1Lk8xSvSclWjZVYSKyrhcuqIkmviWlNB+PJouz4b/7tZUuXowkhYkC0sty0vDxbb4kFv+b4JeX3kaJrbjCexBXr1XLsALBzZAZNQR/eccRcAMA9W/YBkLTUDbJ44+BWb68Pxk1dA3rWdY1eKdPLgbAqKdgI4qmsWCmodTVKdX1ojMSifzQBHzGfJF8KMYsKVtWC9ZsGsFXJw/rhA6/VlLciJBaNCJAppTuNPCxpmcvBg8iO5mBZqysus9g+PIVkJieYnWqXP4N+pisF7EuI2DdReDNurhAgZ3N5wZhVFyCrwZ9VOmQnBMgxnhU9nalK36rqj0vLK+qNdWvm40PHLQDAAnft0l9fLFLRqzado/jlo9vFc6smRdUgHPQLltdKeyeVQWbXXv9oAqEq3GHMossGL1f5d2lEYLluzXycvpIVyzl3dW/RNdc/migqxxv0s9/2zEPmAAC2Dk1j69CU6H8bVSSEg/fdd7+437DX/PpNA1h74wO4+BdPFLyn0R7IfbEIcnnzid1GUalo1aSFfX13S2Ot3vpiEWQMVE41CtkBphFOFnzyypHJ1VYQyWqJhakAmRCyjRDyjjKvv40QYosjhNvAq+hVyjKVE/XkWU+1EgvA+tKrWnB3Ds6uPb+7fIA8KQW11bCB8rK2VTrkwszuBgXIyuw9ncsLTapR7J1IYJtSNvqE5c4JkAG1KIne8nBPNIz3HMVKgvLKfxcc0yfKenP2+Tlp0nXGdx6yrJBJNRAFNiwcFKdFgMwmz32xCLRzJCuDCA47rN44s+73kYZNNvmKm547R7mgYvW8dpH5fs+W/cKtpJEa5MF4Ek/vGgfAKijKNnTl3vPF2/St6xrNIPdEw/jy2w4Rz0MBa5KCAeD/Nu7CcdffX7Zolex+VOtqVKOr6fVEw0Jy1hTw1Zxg3doUQFCZmDeCQd42NFV0b9ZCDPB7OZ7KFlQrrRZmJRaLAGhLPMtoASvY8YbHPoOVbuQKZ3ul6mM9NRiAc6s3uy54HsifvpJlKWwdmiqoDKZFwQy+imBU1qBOWsQg8zaFAr6ailnUggJXAZPB110vsCXhlpAfh81rt7RdtWKW0lkPlbBGW6iUWV/U3YyHLzsF1607TJT1/ucVp+KCY/oK9jcSINgJzroOW1gsZDpVmKTXEw3junWrxUTBKmcRLWwJkJVrN9YSqiifsQsdZVwfeqJhvO/owkkZ/219PiLY53u27G+onzOHLuNdIWjYMTyNbF4/0OAT1Y5I447pwmMXCBnMt959mCUJeoPxJL5y5wvI5Slm0rmS/YS8WthaYz6DHZNlLcox4nsnEiLh/evvXFWz/SMhpKHlpn/3RD+0ltK1EANyvGWFzMJqRfZsFLtavCFh1M94sSKx6B+dwcAY6wC7W0NoClQftHHbMjskFqms6s5x+srZ+N2T/aAUeHH3BI5dom81VqucoTnkh99HkMtTyxjkRrMqgCZAnkljQZexyj/rNw3g63/eAoA5oNz53J66ZoRXAs9EnkhkkMrmiq5lbuK+qKulIFmQ//+uNfPxx6d3F1hxlXImqAe4t+9LeycxGE9a0oYpoUFWu+BSiZRWQkgsLBwM+cShq8oSsVagXSo3rYeD5rCkz7mdEWz4l+MLftszDpmN327chU27xhBWrtVG+DlzsNUEc5KEJ7aPlgw0JpRJQzXkhFVggVgThqdSuoWKqkH/aAIEBHLpI71+Qq3IGSiaeJhFrMWe0vMc6zcN4Ir1mxHwEeQoLXL72LRzHACb5J23Zl7NNm8Ay4XZP5mqa4A8GE/iF49sx+3P7gEABHwEkaBfOCxV2/fJLhj7J1NYMqscn1sZFQNkQshasOpzHOsIIct0do2BVdp7tqYWHSDYX6GKHgfPVM/kKJ7eyapoVZugxxGzUWIha3uWz27F4u4WbB+exmYDAbLfR9ASMh/4E0IQDQcwPpOxXIPcyAC5OeRHKOBDOps37EPJXSD4YGhlmWirIJdIH4qnML+zMPDnlj6l2tvX1QyfD4C0Wm6H3MAo+BLtPVv244FXBi2xqJrWuFhwyBMFO8AHeGslFly327igshyDDDCdPwD0thX/vsct7UJrUwBTUpnpRmqQe6JhfPjNC/FzxY6u0mrC2HQaP31ke8G2kF9NVnRCXwcAsZYghqesC8SMaputKBLC0W2jxILrcVPZPPina/v2TbvGAACHze+wJDgGarcbNYv1mwbwxds2CwJk9bw2/OzDb8LAeO3EQNDvQ3drCMNTaUtWHI38wqeA2btdDTZVWyc9lx//BmASwOdqbtUBAM4gVwp253VEhAbosa2s2vWcttoCAa6ptcP8W+vOsVpZ3i/nZCF30NX6LKpWb9ZqkDsaOGgQQoQO2Sij1z+aYOvEEuqZEW4EszQBshZqmVT9gIo7E9gtNzCCwXgST+1gg5JRPagRTOswyPVArNUOiUXjZQm8zxtP6B8X365XFKgp4MdbDp5VsK3RPsjnHj5X/P/3z64tOyH79j2vYCKRQTQcECuWH1u7RLxHHHuDA2QrKofK6ImGsWKOagep52AC1GYxqgVPQrW69DzA+vZABWkND5DXLOi07Hs761hNj08C5NXBV/dPgfhgmcMS/wwrJBZGAuTvQrVvIwA+i2Jrt0UAuimlB1FKn6q5VS5HPk/FyamUpBfw+9AXYwzbzhGmTqklQQ+wt746t6Hj7hyHzWcB8uYyiXpWMBhtoljIgcMgA9Ls3WCHO6u1CcmMdVnMdqClKYBmZaVAN0DmDHKZe2PdmvlCl2xFmeVqYWTQqgZTmiS9eqFbuFhYx4CNOMAajQfIyYy+FSSfEHeWkBmcecjsgudWVk2sBrJcRWvrJWPLnkncsnEXAOAzpy3H8UtZwu7OYVXpyI/dKX2dlZOzYEANYY6Y36HbT3CP3UiwdsaVTwLHZzJFyWW1giWTlmbEU9kcXtw9CYAFk1YhVsdqenr9ZshvLcGjlpuuvY+reMVQSicU+7YdYGzy73Ss3XZRSkdrbs0BgtGZtLjQK0ksgOKCAL0dNQbILepNbDW0gT9nkLcPT5fU/01YMIPnDPKBpEEGCisZGcHtz+4W/7eE/A1lV8uBs8hDOoGYYJArVE2y27fZCPpiEeRN6kErgVJaVEmvXuDX22Qya9kAP8yr6DWQQW6XEtD0+iFOFpRyrDn54J6ChZl3/vDRhjqnGCkLPjiZxBf++CzyFFg6qwUXHb8Iq+a1ASgkLPjv0Si3Ho5OG5by5cTZl/ZNFkku1m8awM3/ZM6zz/aP13xOZemN1QFlTzSMi49fVLDtS+ccIvq/F3ZPCub1yAUdln1vp8kxqBb0xSIFfuSA9QSPlV7IZn2QH6KUDgIAIWQZIeQEQoizUugdgH2SG4URPfFibYBcM4OsuFjYyCDzi/DQee3gBMeLJVhkK8p8cqs3q1wsrAjarYDonAwkfQxOJvGTh7YCAD503AL8+pJjG8qulgMPfrV+lNOprAgOKwXITkBPNIwLj1kgnlsxIUll82Igr3eA3FXDAF8qu56z0Y3U7crBnx4xoHoB67cxlc1BJmqT2cY6p7Q2BRBS2FG9AHn9pgGccMP9eHEPK+F82orZCPp9WKUQFrtGZzAxk1ESm7kHfWO9nWMWSywopQUB8kw6h1f3x8XzwXgSV27YLO41nq9RyzmNSaskdnghr5pfGE7JrhvPKPKKhV3NlkqAYjZKMrWQZTFBP7GF4OErk1Z4IZtec1C8jrcCeAXAwwCOUrb3EEJeJ4S8u+ZWuRx85hIK+Eou6clYpAmQa9Ugd0oZ3doZda3Yp2GQW5sCWKpkipbyQxbBaA0WO20iQLaGQZ50CKvSZWL2/u27X8VMOodYSwhfOGtFw9nVcijFIA9KkotyEgsn4cxVc8T/D/5H7RMS2RJRm6RnN+QB3oyOslQRCsAZEgt58q3HIHNHn84SAXKjq71pQQgp6TjCAz95Of7Xj+/AYDyJlb1tKmGxd8LSIhm1QjDIFmldpxVrNxnPKP7RgHJOfdae045IUNjV2eH6oL1279myX/xvh/4YsIfZLwcekrz/TQtsIXiExKJOSXoChJCTAWwAMArgGkjpQgqzvBXMyeINjdcG2Sx2VmuToaQ06xlkdsFTal1SGwcP/mdLbeQ+vKUq6vGgtjYGmUssrGGQeeJKwwcNg/qvf7w2jN8/1Q8A+NzpyxtaftkIZikMh1aDLC97zWpwIpRRyL912AIdo2xgX28GuZoBnjun6BWhmEmrzg+NlFgE/T7hkKNnbzlWoZpcXyyizX1tuLY/VqIseLnAr7UpIMaTF3dPFhTrcRMZYARy33LoXCYt4SwrwM5p2sKqcwDg8xHV6s0GJwvteP3gK4Oi+A23eFtjobwCKHS9yltMqGlBKcXAKNPHH7e0yxaCZ7aUpFdrLoHZ3v4rAJ4DcCyAH+m8/k8Aa2pqkcuxftMAvvX3VwEAeyYShjRPS7oLvfpqtXmTy0daLbPQMsgAsFpZFnp+97jue6xJ0rPWxYIHB40pa6Ai1lK5qMttT/fjw7/YCIAXOmhMYRMzEAxyXJ9BjrWExBKy0yFft9xTtRYUMMih+gbIPh8RkzKjhU/6RxMgJRIVZT/YRjs/CP93TR+Ry1MxSS8VJNarUIsZxERCZWHfUKnc8Kq5rD9+Yc9EwWSh4WSAlJBsRRKkfP3yYi+bpAC5JxrGWYey7QRA2KIKflxKZIfEgo+VqxXp4nQ6h8e2jmDPeEKMvUdazCDz60yW49iFiUQGcaX/69PYf1oFLv9MZvI1SzLNjlBvAvBbSmmp7I4BAHNKvHbAgy99cRE6Nah5mt3WhIgS9ESb/DXLCORlRCuLhVBKRWbonHZ1MOROFv2jCbwmacA4LAmQI9a5WKzfNCA6t2/89aUGJ+MoWt14Uvc64bY4fGJPAXz5jhcapo00Cj4IFQXIBhP0nIS2Csv3ZsGr6AFAS51dLADzbgJ9sQgyWf2ATA5SGskgA2r/MqHRIE8mMqKMd7lqck5xTuEoJbHoiYZx+dkrxPMmTeDHE/Ve2D0hrtegnwhnmUaBa5CzeSqCpFrAy4JHwwG8WfHg3zo0XXD+dypyitMPmY2HL7fmnKrV9KxnkHnbF3e34GjFqeKeLftF4N8c8hdY21kBOSHU7hLavBgaAMzvtGd1ZrYUmwzWmKhnNkD2ASj3C3YDqH+9QoegWs0TIUQwG9PpXMma8kYRDvpFwG2V3gtgSzBpZaCU3Tle2z8l/j/n+48Utd2KAFlILFK1HQ8PODkyOdrQZJwXFNZ9KpXD2huKzzu7dqy3GbMbMoMss0U8YJ7logA52hQQuk4rNPBcYtEU8CFgkdm/GZgNkHuiYSydpcrAfAQiIOPsZiToR3Od2XAtSnkhy9pKeXVND05wTuHg1fz0ztPRC2Pi/79+5qSCwI8zyNuGp7FnnPVr7ZFQ1R70VkH+7a1ICOOTs1mtTTi8r11Ih54dGAfAqtM+18/+/8gJiyw7p3ZW05Olf2ccopZA517sh81vt7zPkAk1u3XI/Yq8orUpYJvkp6ulSVRMrNXqzewv/RKAk8q8/jYwCcYbEtVqngbjSaHNzFNYUozADieLAncOnikaT+LqP70otusFnBMW+HAKF4sal7j7RxNFtl2NCjgH40lRLQvQz5zvi0WQs9hmrB7gAXA6ly84Z0LD7pIEPYDJEqKKVtgKBnmqRBW9ekEwYAaDlGwuX8D8RIJ+vPOIecpnqJKZRkMEyBoGWZZclErScyJiJRhkAKKPaAr4imxCD1UCZEqBx7ex4lPtkcZOXgBj1nVmMKQEqN3RJjSHAlgxp1CH/NfNe9nrrU04drF+lddqYEe5dg7Zku+MQ9hi/FA8JYgTqxP0AEao8dUFu4uF9I+xAHl+Z8S2CZvfR0R+y746M8g/B/BuQsgl0nspIaSZEPJ9AMcBuKmmFrkYPdEwPvCmPvHcqOapfzSBpoDF2bZcj2dhgCzcOfw+0dlVYs3z0nKaFQzyVCpbk36tLRwoa8ZeT7DM+fLscE80jFVKAopdtjh2QJZQyAG/WmbaPQwyALQ38wmadQxyvRP0OGImrAUB4MU9k8KaD2CrXDwRmUuVGmnxxsFtzLQaZN4HNgV8rtDvc3SVSNID5GI7xYng7c1BLFCKTz22dRhAaXu7eiIS9ItxzgqmUqxGKcEQ9wbmThZ/fp4FyOesniMYRStgZ7npiYQ6Vi7ubsGyHpafxLW0dgTIgPFk8VrBx7b5NumPOdRiIXUMkCmlPwbwewA/BfAamCTy/wBMAPhXADdTSn9bU4tcDh57HTo3aljz1BeLQBvy1Rq0qcuo1s0I90klgnmn3BeLIJMvzZrHk1mh/6vFc5g7CeTyFDPp4kpZRnHXC/vE/60NTsbpi0WQMxCsNymD+nlHzHWENtIIYi0hIUuQdchuDZD59Wclg9y4ALn00r0entjOakDN74yIlYGndzKWTli8OcCRhDPIWg0yl5m5iT0GSifpAarHa6l+i+uQ+QSm0Ql6AJMSWjkuDWv8t3ny2rP949gxPC2KpZy7urfm75LBr3U7JBbastjaCo9WFgiRYbZgVbUYUBhkuwkp1Qu5vgwyKKUfBPAuAPcBeBnM8u2vAN5DKb2kptYcAOAz9rce2ms46OqJhnHd+dZmUKvLjdZLLGQHC952mQmV2z5hkQ9nVPJQrlYHmszkcPNjOwAAFx23EL9qcDIOz5znCPqJ7nnnA8Hq+R2OZ445An6fYMBkL2SRpOciiQWgXrvWaJDZBK/eZaY51CViYwzYRiVAPnZxF45SghARICuf0eUEiUVEX4M87hDPc7PgUpiZdK6ofDZflSk10eQyC44OBwTIQGWmUluMplRxGkAOkAsZ5IlEBj+4/3UA7Pc5elGs6L21QNw/diTpafJ15DL3BMBDrw5Z/p1AocOInehXpFp2OVhwWFVuuioKg1K6AcwP2YOEfRNJbB2aBgAcv8yc5mndmvk4cXk3+kcT6ItFag6EYjaYf+t5IAOs7S0hPz7xv5sAAOdIM3Y5QK6t1LT63ngyi94q6jf+4ekBjE6nEfL78OlTljkiSFu3Zj5uengbXt4Xx8fXLtUN1rVLiW5Bd2sThqfSov3JTE4sFfIOzC2wkkGeTjeaQWZ9w+Akc04p19fk8xRP7uABcgwTiQz+9uI+bHIwg1ykQa5QZtqp0BZ1mdehsm6VVmJ4RT2Odoccezmmcv2mAVy5YTOCPh8yuTzOOGQ2/vbiPoT8PuQoxXXnry7oH0WArPwGi7ta0B4JYiKRwfpnmGb3nNW9lsorAHXiMq1MXKyS7WRyebG61B4JYjCexE0PbxOvUzBXrBOXd1tOlPBqenYUP+GglEoMss0BMvdCrjH53h1GpC7BP7cx9rgl5Mdh8ztMv9/KDOoOMVO3XmIxRyewXCUd7+5xVUPLGTdCIBKdqoHMIMerYPFyeYqfKp3NujXzHBEcc8xVBr6EjnQkmckJa7tul8kSxDKXMpjLpT/dwoRzCAbZQh/kRgXIW/awped4CecUGa8OxsWk4JjFMaxRrKd2jMxgeCpVtMzdSHANcpHEokIVPadCts3T6sVVDbL+fcQLZ3A4QWIBlGYqubuQKEaTzeNPz+9FJkdFxTw5gZlSiuE4+wxOHPh8BEf0dSivs89922HWyiuAwoqRVibqTWqKutSzumM9qukNT6VF5UO7LN44ZltUbrpsD00I+UoVn0kppV+rsj2uxqOvs4zhYxbHii7seoO7WFh5wetJLDhmR5sQ8BFk8xQDYwlRflotMx2Er4aZfDjoRyjgQzqbrypI+f2T/dilWMxcunZJ1e2wA5wFKreMCLiPQdZW05OPz002bwDQprgAWCGxmFImPPUuEgKUdk4pxUpx/XFPtAkLu5rR2xFGyO9DOpfHpp1jIkBotAcyoDLE8VQWmVxe9MHjFaroORXRpgCCfoJMjhbJYYYUsqLUfdTd2oTe9jD2Kn22UyQWpZjK/tEEKuVe8+CwJxrGdDonKjjKxIG20uWO4WnrJRbStT4ylSpg9muBVo4YawmVze+xEl0mrR+rAXewAOxnkHva1DE1n6dVxx6Veuirdbbxy1j7jVTZRgG8IQPkf25lAfLxS7sb3JLC8pFWoZTEAmCa096OMPpHE2IZBbDGA5mjLRzA8FTadJBy29P9uOp25n3sI8Bz/eMigHcCSlWdAwqrNbmNQdYeF9eDtYUDrnITAKQiFC53seDOKWlpjikHHlpw/fExi2MghKAp4Mfq+e14eucYnto5JgZUmVVrFOQAeDKREbIPNUBufBBvBjypbf9kqiAhjFIqdP3lkl0PndsuAuQGWyALlGIq+2IRZPOl6o8xyMHhsNRX8tWLwXgS9788WPCeL93xAtYePMvSFavWpoAga6xM1NMGyM2hAK47f7UqO8nnbUso77QhXtCCeyB3Ngdtt7jkDHImRzE2k65aAlaJ5lyseawG8CyApwBcAOAI5XEhgKcBbFL2sRWEkA5CyE2EkCFCyDQh5H5CyBEG33smIeTnhJDNhJAcIWSHFW3KU1VaYFZ/bAdkmzcrynomMzlx8+gxyAAwv4PNCmXPVGsDZPPV9NjS3QuCncgbrG5YT4hAUifpgweXkaAfLQ2uhGUW2gCZ/+Zu8kDmaBMSCyt9kOt/Po06pwAsEHtiu6o/5jhKkVnc//IgckqJR0cwyFKVPNnqTZVYOINFNQM9x5GxmYywqiwXLMnum1//S2MrhnKUKlLTEw1jocIqhvw+hIM+XHBMnwjsA77CBGZ5ZY0n6dlhl6oHQgi6W8yVazcCueohL/RVr+qOvMqhHYmHHDwusNviDSgcY2pJ1CsbIFNKd8oPAJ8Aq6R3AqX0d5TS55XH/wE4AUAGwCerbo0BEEJ8AP4C4P0AfgDgMgCzATxICFlq4CMuUB5xALutahcfKDqbg1g5p63C3vaDDwZWlfWUtTwlA2RFV2RXgMx1yGYY5P7RRFGhDadVouMs0JDOjSyqRUWL/U6dDq10RPZudRtUBrn2e6mRSXpGnVMApjPmk5tjpEIL3Iv19UG1gma3A+Q/MoMsJ+oJBrlMmWmnQq8ohTy5L3UvDcaTeEBiUxtdMZRDuFjoMJUJRZ966drFePiyU3DdusOERdupK3p0E/SY6xMLJhkLXR+P+5jJYjtGII+Vcl9fj+qOnEGeTDJ5kh2ol8UbwOIf7qxVS6KeWaHsewH8jlJaNEpQSjMAfgfgPVW3xhjeDeB4AB+mlF5LKf0RgJPBpB1fNfD+KwG0UUqPB2O8LQFfHjpuaVdNWlurICekjFuQqCdXpCnVKXNdkV0Si2gVDDJAxeSFw2mV6DjTGk9lixL1eIDihCQos+DHxUuUV/JudTL46oWVNm+NStJbt2Y+FnSx6/9zpy8vyUo9sZ1Jxjqag1jeo0qS1izsKNrXCQlwYakQxYRk9eZWFwtAZlxlq0T2f8BHBPOnRf9oAqE6sKlmwY9nfCZd0C+nsjkRyJywTNXDr5gTBVBcEU2uosdhh11qKXSZ9BI3AivHSrOQqxxqXWCsAr/27LZ4AxjLz897LV7IZnvoNgDlDLY6KrxuBd4NYA+AO/gGSukQIeRWAB8ghASVYF0XlNI9djSK3+zHOUB/DKgzQoBZ6izoqu2i5B1UZ3OwpH60HIPcZkGpU/4ZZlws/vTcXvF/tClgq46rWshtGYqnCs6VsHhzmf4YKGzzyHSqonerk8ElFulsvmZrp0aXmgaYDdKukQRS2dLyK64/ftOiWMGkvycaxoJYs0h6bY8Ei4KxRqGjOYj9kykxyKezeVEFsNMBXs1mwaUrowUMsur/W4qM6YtFHEkM8IlUnjK5Ej8ne8eTQgYnB1CLlDLa24enQSkVzOpwCetLq+1SS4GfF0slFjONC5DlCe7YTNqW8UaUmbY5QY9jTnsYu8cT9kksdPAMgH/VkzIQQpYB+DQsZGVL4EgAT9NiYe0TAKIAltn8/brgfdEJSxuvPwaY1RxfYrDCyWL/RGX9KNcWDcVTwtheWxmoFkSbzFltTSQyuPWpfgDAZ05bbruOq1rIndHQVOFsV2uG7ybIxzU4mRLMlxuD/XZpglerDrnRpaaB0lpQGTzp+NDeYskY1yEDztAfc3AZBQ+Q5aIhTnFyMIMuoXUtlliUkyrVk001g5iGuOHgpIrfR9ArJYEv6mIBcjyZLWA2h4QHcvG1Vw9JQrcN1fQaySDLqyt2OFnk8hR7xrkGuT6TNCvKTZvtoS8HcA+AFwkhtwN4Rdm+AsA7wWQOX6y6NcbQC+B+ne2cKpwL4CUrv5AQMl5hl3aAzWYXKzPeRoMQgs7mEAbjKUuq6QkPZB0HCw75wh8YS2BZT6sIJqzUIBtlkG99sh8z6RyaQ3589MTFjvEC1SIc9CMaDiCezBb5NrqZQeYDczKTx1A8dUAk6QFsIKvWRzsvlUpvJINcqdz0zx7ZJhwQ/vvBrVjQ1VwwsVyzsBMbnmEpHG1NzrmveEEMnqQnB1Vuc7EA9M+TKlUq3yfUi001AzkQG5tOA7PY/1yWN6ctjIBkkSqvpu0YmRaM83C8scSB2WqURtDIADno96EtHMBkMmtLNb39k0mRWFoPiQWgrszWEiCbYpAppf8A0/tuAtMjf1l5vEfZdoqyjyEQQnyEkLCRh/S2CFiioBZJ6fWGYHQ6JQYNJ4Avm1hR975ckRCO2W1hURqTd3iWulhEjGuQs7m8KCv93qP7HBscc5RysnAzg0wIEce1ezwhEnNcKbGQKjka1SHrlcmdlvzVGhkglxvgB+NJ3PC3l8XzdC5flOA1Lg2iz+8ed4RDAqCyxBMKKVAYIDu7D9CDHtOvTporB7z1YFPNICy58cjHpDocFA7fbeGguFZ3jEyL7Y3uF7tsYJDHGxggA+WrHNYKbvEG1JNBZtf8tqHpqpNTTQvHKKUblQS32QCOUx5zKKXHU0ofN/lxawEkjDwIIVzcmwCgd1eEpdctBaW0o9wDwAQA5BxmIaaWXrWAQTYgsfD7iKgKxzs8O1wsjATI92zZj93jCRACXHT8opq/225oi2pwuJlBBtTj2rJnUmxzUhVDoyhMAKscIK/fNIC1Nz6Ai3/xBNbeqFar4wl6ANDSAJs3jnISi/7RBIjG5l5O8BqMJ/GjB14XrznJOrFDwyBzeVlrU6DhxZuqAZevTKWySGXZteNmLT+gOkCMFUgsFH2qDru4UGGRdwyrQRaXnDSeQbbGRhWQxsoGrXRwdv7F3ROW38s8HpgVbaqbB37/KJtQbR+eLuiDzaBqCoNSOgRgqNw+SlD7BIALKaX/1NnlZQAfMfiVceXvXjCZhRZ8my1JeEZRznS/3ohZWD5SVNErI7EA2Oxw1+gMBsYSoJRiMqnWlq8VUYNOAoPxJL5332sAgNNW9DhG9lIOPTqlMWfSWZFg5EYGGVAD+xf3Tohtbh3Y2yJBDMVTuhr4wXhSLGUPTaZw2R+fRzZPkQRzt+HV6qZSDmGQdZK/OColePESuMmsagfllH5P9X/nEgv3OlgAaiAGsHPV2x5xtV0iwDx3+0cTBSubpRhkgOmQN+0ax04dBrlRxAG/f9LZPKZSWTE21QIr5YjVIK3kDf3h6QGsf2Y3rjt/tWX5OjxBr69O7PFgPIk/Ps0CYgqIUuWlKoaWgt09tB/AIpSQPVBK9wG42eRnPgvgeEII0STqHQtgCsDruu+qE5yQKczBB4uxGiUW+TwVM8pyEgtAdrKYwVQqKwbaejHI6zcN4Iu3bUZa8XKU7amcDMEgSxKL4bgavLg1qOSd0Sv72Py2tSnQ0OS0WtCuBMhaBnn9pgFcuX4zCCFIZXPI6xBKPIAMSK4DTkjSG5vJFJVi7YmGcdDsFry0bwpBP4FfU6ShLxapWwlcs+D9jFaD7N4AWXKCmUpjTlvY1XaJgH41vXIB8kIlUW/HCAuyplNZoeNvlP2lXJnt1f1xHLWw9nLWjdQgD8aTeHkf8zXP5KjwzTYbUJaCsHirk4NF/2gCAb8P6Zy6YlfNJN59a07AH8ES8d7JNyhM9XsA3CFbvBFClhosHlIzCOCYTGEOXiykVgZ5dCYtBPaVlim5AH9gLFEQSLRZMMPmnyEH3jIG40lcuUENjgHgl4/tcMTSbyXIteM5ZEcLtzPIauUvdx4HwEpkA4UuFvyaS2bzSGT0g2NADSC5gwUhQHMDKyPyADmXp7qSEZ9Shu39b1pQ5PziVIcEQA2EuQaZ696d4NNcDdoiATGpGplOYyqVRUJh+tx6L8WaC1cvZA9kPYnFom62jTPIelX06o1/vKYunn/gpo2WaPAbGSD3jyYKKi8Cxn2z9XItij5fMMj1CZCtsjl0I5XzRwCPA/g1IeRbAIYB/AtYsH+1Zt/7lL+L+AZCyGEA3qE8PQhAOyHkS8rzhymlD1fTqOaQHw9fdoojBgmOmEX11X/7+E7x/yW/ehLXryu99DI/pmqQtbXlawVnkAFgKpkVGesc/aMJBH0+sawNOGfptxL0NMhDcVU/GXFZmWkO7RKoW7XUgFxNT72u9a65cNCH846ci989wQbNpoAaQD67axwA0BIKNLQyYgEzOZ0u8gjmy/hrFnbo3jtOdEgAJJu3hFZi4c4AmRCCzpYQhuIpjE6nxHkB3CuxEAyyEiDvkTyQS0ksADaOTcxkCgLkRvQng/Ekvnrni+I5T2KthW1NZ/OCFW9EgNwXi0ArpTYSUP5240589Y4XEQr4kKe0pCxjd5kVAjvQEw3jS+euxJfvYOcpFKhuEu86BplSmgNwDoBbAfwbgP8E00KfQik1Iq9YA+BrymMlWHET/vzUatvl9xHHDBIcqsSiegZ5MJ7ED6WEnFS2OKNdBmcAhqdSBXpaK3yQKzkJOHnptxL4YDc8pVaYGmqwzs4KaI383Zigx8GvYfna64tFdEuzfnKtasf+owuPFIOGWma6sROezpbSvqfZXF4EIeX6NKc5JAAqgzyZYNIRtcy0OyUWgJQQNpUWfSoh7l1V0rol8AQ9rQcyBw+QAeZkIRMH9Ur4ksEnxTJqrVIoT7obIQfqiYbxnqNZH2V0NXwwnsSXb38BWcW6kut8tbFBJpfH3on6SiwA4APHLBD/f//9R1Slp3ZdgAwAlNIxSunHKKXdlNIWSukplNKiAiWU0kWU0kWabTdTSkmJx9X1OoZ6wAqJRf9oAj5SOqNdC3mGuGUvcy6INgXgt6D8tlyNT0+HzJd+RTv9xDFLv5XAg+BcnorzNeziMtMcWpZrtouDfT0GuScaxpfffoh4HvKzgWVRd4sY6GbSagA91eAy0xxNAT+iShtGNVZvLDOf/e+2ZXx+jvKUlW7n91KnSzXIQKHjCA8+Ys0hV7pyAKrchRM3XH/c217ogczR3hwU99KOkemGJ+jZQcRYvdpaDc46dA4AwOcDHv5C5YJa927ZXyQp04sN9ownxH71klgAQMDvE5aCfq1+xCDceYd5MAS+lJXK5pFI5yrsrY++WARZE1qenmhYVPDj1l5WsMdAYdZ/KSeLdWvmIxJkl/X16w5zXNW8UtCWmwYOEAY5qmWQ3XssfAVD62LxpkVqgs7tnz5eXHPzFMtDXkEKUKvoNdLBgoPbbY1oGGR55cdtjL/Mvk3MZKQkPfdOMnlC2Oh02vW2jwAQU1YvRqcLGeRyy+88UW/nyIzkgdyYc8qJGM75aJNYq4ETAmS+IpHLA00VmPl8nuI3kvSSQy824BMgHwF6O+rbn4hVvyqrn3oB8gEMOTGlWvPvnmgYK+dEATBGttLSi+yF/OIeZu1l1Q0f8PtEYlMpJ4tcniKRYbN7HqC4AR2RoEjG4TrDRleLsgKy1hVwb+Y9oM8gAxAV5wI+goPnqGWZ+X3A9XeAVGY61PgAmS/dj2qKHXCWsingE4mJboEcCI8n0qLUtFtdLIDCctOqxZt77yM+Lk0ms8jk8pKDRWl2cRH3Qh6ZFpOERvaL69bMxykregAAbz9sbs1EDA/gQgFfQ2QjQGHJ+BFNwSot1j+zGy/tjRds46tn2j6eFwnpbY/UfdWjzaA1bCl4AfIBjJg0WNSiQ+YM8geOKc5o1wNnArgtj5UzYn7Blyo3LVcqi7pocPf5iOjwixhkFwfIoYBPLBED7luyl8ElPtrOdv+EWrhBlhLpMcjcB7nREgtALWOsZZD3cxuxtqaGJhJWg5aQX5yDsZmM610sAFlikcLgpLuLhAAo6A/GZtJlLd44uA55x/B0w6vocXDLU9lKrFo00sGCQz4v2j5BxnQqixuVSptvO6wX7Uq/+OW3rdSNDV7ex1aSG3HNRoXzUOXiYnowFSATQl4lhFxOCJlj8C1TAK4BsM10yzzUjGg4IOphbR+equozKKXYpcwAj1/aZYgBnN9RyARYedNHday2ZEwl3RkgA8VWb43W2lkFOcB3M/NViUHWFtHhAfJuXYlF411J5GpgMtRKbe47V4QQkZC3byKBtFLMxM0MsqxBFpMXF/cJsmPK2HSmbBU9DtXqbabhVfQ4hKVglcv3MoTbSgMD5KaAX4yZpRjkwXgSX7njBQzGU2gK+HDFOSuxdBarNTCsU3Z7/aYB/PqfTIrx/MBE3UvSc4lFKUKtEswyyBkA1wPYRQi5nRDyNkJIyc+glE5TSq+hlO6oqnUeasLtz+4GVw//+63PVXVxjkynhf3MgpixinRaDZKcXFcrKhULkbc7QedpBrLVG6XUEUuJVkAO8C3I1WwYZB/uvKTL3zfJk4wKr/u5ugGyM5L0AFWDrE3S48v4s12qF28XCV1qaWJXa5CliYzby0wDhUHgvsmkCPqNaJBHptPYMcz8kLujjT2nwlKwRhtVAJhIWFdxthbwsaZUsHvSDQ/gtk27AQBrD5qFeR0RLOrmhVymC/bnHvG8q8xRWveS9MK7vh4BMqX0UADHA/gVgFMA3AGgnxDyjXoV5PBgDPzi5OCVccxenDulQcZolq6WCbBUYsFnhCn9AHkqpd4Ira5lkFOYSmWRVLTUbmeQE5Ls5ZzvPVJ3FsEq8GuP0sKJWEkGWRnw48ms6KCnHJSkJ9uHyXB7pTYegPFACnC3iwVP0osns+Jac/NKTMDvE2PCC7vVEvRGJBaAuuLRaOmZqNpoSYDceIkFoK5WFPUJSjyRksrLP/zqEAbjSSxWzs324cIAmVUOtdYOzyzUJL06SCwAgFL6OKX0UgC9AD4GYDuAKwC8Sgi5nxByASHE3SP6AQCrvBq5wD7WEjJcb17b0VkrsWCftW1oSjfY54FLyO9DU6Dxy9hmIDPI8gy+28UB8mA8iWcH1EEwWcFH28mQr2OZkdjHA2RN0DJXytjmOuRpR2mQCyuacQwp58atEzPOFvMBmxAY7rucCFkbylfz3MwgA+oxPT8wDoAld2vvHxmdzcEiyVyj+8X2KiQWparOOSVA7mrRX1XSiydCfhZPLJ6lBshUqjai5xFf77oEYsU5VeckPUrpDKX0l5TSEwGsAPA7ACcD+A2APYSQ7xJCFpT7DA/2wSqvRq4/XmDC4NtOBpkP3g++MoS1Nz5QxEbyANlt+mMAmKUMEMPxVEFFPTf7IPePJoTtH0e9WQSrINsVyoPivkl9Brm7pQkhJWubB8jOStLjlTbTBQOb23WunEHeKSUJW+HD3ih0tRTf/25l9zk4o79ZmTyX8kDmIIQUsMhA4xlkfp1NpbK6xYK0WL9pAGtvfAAX/+KJorGL9ydWWaJWC75aMayZNJcLdvl5iSezBZPtnmgY7zu6TzwPV1nNrhaUsuY0ippcLAghfkLI+QD+C8D7AFAAD4CVgv5XAC8RQt5Zy3d4qA7cq9GvZKH7CKq6OPkgYyZA7ok2FQRFVt30g/EkntwxBoA5a+hV7hFL2G4MkFtViQVP0GsLB1zHhMvoi0WAKkqYOhHRpgC4qQNPEk2kc2KJVVsFzOcjgkXePc6u0SlHJemx6y2To5hUJpb5PFWr6Ll0GZ8ze4kMY1vd7GAB6Af4bvYTB9TJ2R5l9cVICeKFXYVjUKNzM2RdeyWfXS5RSGbyiCvyOXnsmnCIHSEnY7RJej3RMC5768HieZMU7C7uVicuWpkFH/sPmt2Khy+v7IBlNfSqn5pBVQEyIWQFIeQ/AewGcBuAowF8C8BBlNLTKaXngrHKrwC4saqWeagZ69bMxwXHshncmxbFqro4ucRC2zmVg89HCjyIrWKQ+0cTIuDn0LKR3MXCCRpPs+CD3lQqK5h7ty5zc/REw7hu3WqEgz5EmwKGSpg6FT4fEdXnOOPD2WOgmEEGir2QHSWxkFYmOPMzOpMWto5uTdLjyVMcjV62rhU+HynQUEfDjSmxbCW0kxYjFdbkQKwl5Eck1NjfQA5mxysEyJUkj06TWGg1yABw5IJO8f/fP7tWxBMtTQGx2qQNkLnF29GLYg3p8yu5XlWCqV6aEHIJgI8CeLOy6V4ANwG4g1JawGFTSl8nhHwfwM+qapkHSzBXsVybqbKS3s5RdsGbraE+v7PZch/kvlgEeVq+ql/cQUlQZiEvGfIqhI1mSazAujXzceLybvSPJtAXi7gyOOZoiwQxKSXdcf0xIfrL3nM1XshOcrGQl+5Hp1NY3N1SWEXPpedJy8K5OUGPI9YSEnkJbpW+yIhpZCPlLN44FkoSCycQB/K4VilRry8WQbqMHtcxAXKrvjc6oPZ10aaAcK7gWNTdgsF4qihA5sVEVva2oRFQ6yZkQSk17etulkH+KYDFAL4JYCml9CxK6W3a4FjCFjBNsocGgZf1HKuikl4ykxN6RDMSC6BwySynLdheJXqiYXzgTYwRJ4AuG8n9Dt2YlCN3+lv2ThZtczN6omEctbDTtUEXh9YLmVu8dbU0IRQo7k7lYiHpbF4Mkk6YwIWDflGZkjNG+5Ul36CfuDawLA6Q3S2xAAorUrr9HgIKvZABYxKLRdIqphOIg3DQjyblnucSiVLoiYbxwWMLU7Lkscs5AbKal5DVBPR8tWy2zkrZEh2rt4mZjLC4PKQ3akt7K4FLLLJ5KiRXZmA2QF4HoI9SepURb2NK6ROU0o+YbpUHy8B1UtVU0uMG7oA5iQVQqPm58GcbLbP2OuNQVqOGEODhLxRrmqZcnKQXDvqFb+O2IVbY5UAJkA8UaJM+uO2WVn/MIRcLmZasCZ1QahoodrIYmlSrN7qtih6HNshod2mgL0OWw7hdfwzoMchGNMgqaxl1wAQTMFcspE0j/Tn9kNkAGBHFLT0bHSDziQelEFUoOXiArNfXcUZ5+7AaM7ykyCsA4OA5jWKQ1eukmkQ9sz7It1NKa6+r6KFu4OzJdDonqkoZBU/QCwV8mG2CtRiMJ3HPlv3iecpCay/egeQp0KzTSTrJZ7Ya8ICYk+5OYEo8qChikEt4IHNwicX+yWTBIOqU61NbTU8UonBpgh5QXBTkwGCQD4xy7RwxzTmZb2CF8uFXB9X/Xx92hJ+6mWIhL+yZKHj+6j4mP5D1sY1O0usqKDddmKjH+7rZOn2DXAqcO+K8pKyCLog1N6y/k1eSq0nUq8nFwoPzwSUWgFrOUotS3ow8UayvMwKfCZuk/tGEsLfisMraq72E1RaHm23egOLlU49BdhZ4VUitBrkkg6wwY3kKbB1Sy723OMDFAihmkHkVPTcHYdpyvW6VisiIFQTI7p28cMgSi4CPYHaF620wnsRVt78gnufy9a/KpgczxUJe3F0YIL+kBMjyONZom7eO5pBw6tEm6pXyeweAJYoXckKSZfIAeWWD5BVAYRxQTblpL0A+wCGzKaM6AXI5b8ZqLN4AlpCQq5BMVy0KAmSdTinuYps3oDggbrTXp4dCFGuQS7MqQGHg/Mr+uPjfCUl6ABBTtK08QN4/yRlk9153Whau/QBjkMNB9w/bcsDf21HeAxmwrvCV1TBaLGRkKiUs7Xgf/4oiQZDf22iJhd9HBLuvTdTbX0aDvCDWLAJrnqj38r7GJugBhTpx2yUWHtwHmU0Zmy68iQfjSVy5vrQ3Y38VRUIA1YPZDmsveUao1ylN8SQ9hwQgZqFl7jwG2VlQNcjsOqukQQ4H/cJb9LX9jEEO+IjotBsNnpQzUsQgu5eljIaDkOXTBwKDzK8dAPjan7c4Ql5QC2SJRU9r5WvNqsJXVqMjYixAflFxJfL7CN5+2FwAwCsaBjkcdEb11y4dL2RKqapB1iEDwkE/5razc7F9eBrZXF4cXyMDZKA2L2Rn9NIebEPA7xNCda3Eon80UWRAL8/KRRU9TQUjI1i3Zj4evuwU3PzRY/DwZdYZhAf8PqFn0g2QDzAG2dMgOwsyY5TJ5UVRjVIaZEBN1HtVYZBbwwHHJMCpvqfsOAZdXkUPYEFIm6Q91Poiuw2D8SR+92S/eJ7OOUNeUAvu2bJP/P9s/3jFgN9O0qUW8NWKUvJFDq4/XjarFYf3tQNgDCul1DEOFhzcMUWWWEwkMiKRsFRft1hystgxMo2UkvN0SIMDZOGFnDTPILszivBgCp0tIUwms0USC1Y+Ul8Kkc/TqspMy+iJhm3pwNojQUylsrrm30KD3OSMzsYstAFyl4vLTB+IEAxyMovBeApcSdTbXprJmtsRwXMDE3h9kLGATnGwAAo1yJRSUeK8lGTELehoDorAo9GJT7WifzSBYIBAtrLnREajA8RqMBhP4kt3SHpiygL+E5d3lz0eJ/qpcwljpUIhL+5mDPKh89oEoxpPZrFnIin0y06ZyKmrSiqDLBdEKtU3LOpuxj9eB7YNTWOL4n/c2hQoKBrWCGhX/czAY5DfABA3sUaz2xMN40NvLvRm/Po7V6EnGsbQVErMAM1avNmNthLLWrk8FQVR3Mogy51+Z3MQwQraPA/1haxB3jeh6h/1Elc4+ADB7yenOFgAhRKL8ZmM8Gl2u7RHlpZpPXfdhr5YpMhL3gnygmpRi57YaX7qYiyqkKTHGeRVc9uxuLsFQT9bQXpl36TjGGS+ajksMcg8QS/oJwV6eBnCyWJkWiTorZgTNZXgbwc8iYWHsogpDIqeF/Ly2YUZpguVZRKeoAcYKwNaT7RH9CUWU5LPrJOCEDOQAxO3BykHIriLRTqbx45htVJkubK3czUMilMcLAA1SS+dzWO7ZPLv5iQ9QE3MC/gIWhpckrhWOFVeUC2cqieuBnwiVo5BnkhkxHi6al47gn4fls5qBcAqzfFxrNEOFhxa2RWgBsg90XDJgJc7WewamcELimNHo/XHgFxu2pNYeNAB9wHVc7HgS6oc9760H29aFBPyilnRpobXvNdC6yTAIQfIbS6spAcUaj+dwih4UCGfE64pLpWgx1EcIDun25XZoJeVZVEfKazc5kbwwKWlKYChqZRrg0kOJ8oLqgUP+K/csBlBnw+ZfN61Ab9cKKRUKeMte9SCGYfMZQHjyt42vLwvjlf2xRFQAk6n9Pd65aa5xKJcrgVnkNO5PDZuHwXgjABZLTdtnkF2Tk/twTbwJUY9r8ahKU2AvGU/rjh7pQiQF1apP7YTpQJk+QZwq8Ti/pfVAitP7xzD+k0DliU4eqgd8sSL27aVGzSA4iphTlrdkO22Xt6nljfXJu+6DVw/GU9msPbGB3Dd+atdfx/ZldPRCBwoAT/XDefyFFOpbEFhCo4XFXnFku4Wce8fPIet3L6yLy76B+cEyJxBVgNkbvFWTkrWF2uG30eQy1NRlKyRHsgcqne9Z/PmQQfc5misDIO8eh7LrN06NI3tw9PYpSy3VpugZydKMsjSDeCkZWyj0Jrh5ylcn61+oEFeBuU2Rm5mkJtDqk8o1w26NVjhGIwnsXEbY7DyFEX2lR6cAafpiauBHNSWKhbC5QaHKmMsoAbIW4emBEnllGRSbks5lcoimWE5PeWq6HEE/T70SWQAIepxNhJekp6HsuBJenoaZB4gn7qiR2he73tpv2Tx5p4AmRcJCQWc4SdpFk41w/egIhz0I6QElHsNDBoAm6DKxR2cxCAToibdcImFmy3eAHYfNQW9+8iD/WiXgtpSXsgvKBKLVXNVucEKJXDM5qmYmDqFQY5J8ipeQKiS3zvHom7VEnZRVwuaHeDY0yZs3rwA2YMO+DLqWBmJxey2ME5b0QMAuGfL/pot3uwE70i0M0Ju8dbmUnnFgZS8ciBDO5BVGjQIIQVWR05b3YgpjBGfYLo9Qe9Ac33w4FxEmwLgaiQ9BnkmnRUl5ldJDPKctrDoR7jVqlMCZNlalMssylXRk7FYCpCXdDsjduCrfnFPYuFBD3zpZjKZQTZXGIBxBnlWtAmnrZwNAHhq55iweHFigFzK5o1LLJzE0JnBgZatfqBCOwGbU8YDmWNuQYDsrOsz1qKt3uju6827jzzUCz4fKbmiCTDZEvdKP1RikAkhRfIDpwTI0aYAQoq96PB0CslMTpBr5TTIQOFv8NCrw46o+FhJYkEBgPh0WQtn9dQGQQjpAHAjgPMBNAPYCODfKaXPVnifD8BFANYBOAJADMB2ALcA+DalNFX63e4Fd7GglF3APEt1OpUVvsGzok04eHYUTQGf8GsFnC+xkDOHp1LsBnBrgh7w/9u79yg5zvLO499nbpqRNBeNZFmWLRAGk7AbwonJiQ/G8bGXSwhsYuyQcPHagSxrsrBLyJ6DE0xInKwDJHASspDdBJYcMLBLiLFkLgGCucQYYmwwtmzWCr5IeBRJGesyo5E0o7k9+0dV9bxTU9PTM+ruqur+fc7p09PVVTXV8051P/3W8z5v6wxeaWWr7UEGFvUgF+0LXLqu6bkl70EGnUfSPEPrezh+eoaxyaUpjA/HE4RcsKmvkuqY+Mlt/dwbV3uA4pR5MzM2b+zh0PgUR09OV2bXhOrvdaMTU3z+wYOVx7PztU0A02hJmbczs/OcmZ1blH75J196hJNTs1hP78asbUvXgxwHuV8EXgN8ELgROBf4ppk9c4XN1wN/A2wB/gp4G3Av8N/jfbakcKR6mGZxJKhgsWVjD309nVz2rC2VZX3dnZxTwKmOkwBlNpgYBMrfg5xohcErrSz9QbZSFQtYHCAXaSY9WPz+AOUfpJfQeSTNkLwfZKVYfG9/FAA/e+vS+Osnty0ugVaUQXoQVrI4w6FgQqRq6VcjxyYr4zMSRcj9D9+vwzSL0YkpPvytfVEPMtlVe0oXIAOvAi4Frnf3P3L3vwSuIOop/4MVtp0GXujuL3D3P3b3j7j7bwB/CLzIzK5o3GHnJzzxwkoWYQ3kZPacF/+bcyvLtg/2ZtZ1zFvYgxde0knKuGSV2hGpl/D/b31PJ/01fCELUyxmU/mxeVsaIBfvS7FIUQ0tk2Jx+/0H+MKeQwDc9ejSdIOipljAQh30o6emKzWQhzf0VB38XtTc/7A0Z5hmMXJscpmweEFZA+SDwB3JAnd/CvgM8EozW/a/zN2n3f07GU/tiu+fU88DLYp1XZ2sjyf7CCtZJAHyQG8Xvd3R82dmFnpk9x09VYgcorTwjSQcmZpMFFJLwCKyVuEb7rYav0Q+Pnqy8vO7dj9UqPMqnWJR9kF6Is1UmSwk6EEenZjiHbc/RBIuJukGYanBQgfIcQ/ykZNnFgborZB/XNTc/6QOMiyuhbxjuI85r95ZUcZI4meA77sveWX3AjcAzwIeWeU+t8X3R7KeNLOxFbYfXOH53G1a38Pp6clFl4GSChZJebfRiSne++W9leeTOrx55xClhZdMwjelSopFiXOQpfjCD7Ja8o9HJ6b46Lf3VR5PzxUjNy8R9iCbLVxNEpGVLUw3vdD5NHJscslkO0m6QXLOb1zXxY7hvqgsYVcHx09PF+L9ABbeA46enK65xBsUM/e/r7uzMoFJ2IO8tb+XwUpnR3agXMYe5POAQxnLk2Xb17DPG4Fx4B/WelBFt2lD9I9wLCPFIgmQy1KHt7uzgw1xj3h4WWsiHqTXrwBZGijskdg2sPLlw5Fjk3R3Fve82hwExJs39Cw5VhFZ3mBGDvKO4T5m5lYu2TmwLtp2enaey//0G4W5spRcVTp6qvYe5ETRcv/NrFJ5KMxBnpv3SmlLn546mbVtru+EZtZhZr213ILN+oCsahNTwfOrOYabgBcDN7r7eNY67j5U7UYUXBdaUskiKwc5KetUpjq8WaV1FgbpFedSlbSesAd52+DKva07hvuYLfB5FaZYlL3Em0izDcafreOp3slkXoEOIzPdYHRiir3xdPVOsWZ8TL40Hzs5XZlFb6USb0WWXHUOUzJHJ6YWcqZ9fi5ru7y7Ci4HJmu5mVlSXmESyPpU6g2er4mZvRq4Bfhrd//wWl5AWSQB8tipIMUiCZDjk6GoOURZsmohJ98GlWIhjRTmINdS07jo59VwMDHAUIHyIEXKYGiZKhZ9cbWayy7awl03Xsk1F1+w6PmRY5P0FrDqAyx8aT5yKgiQa+gMKKqsWsgHx1b+O+cdSewF3lDjuhPx/SGiNIu0ZNnBjOeWMLOXALcCnwfeUuMxlNam9RkpFqkcZChmDlGWrNn0kh5kDdKTRtpzYKzy859/9UdsG+hd8uGXVuTz6qs/PFz5+d59x7j9/gMrvh4RiVQG6aWqWDxx5BQAP/v04czzPWuQWFGuLCWD9KZn5zlYCZDzP6616s+YbvrA8ShANlsuAznnANndDwMfW+VmDwCXmpmlBupdApwEHltpB2Z2CVHlivuA17h7Zvd6K0mKlI9VyUFObO3vLdQHeJasFIuJSpk3BcjSGKMTU3z07v2VxzOrGHBXxPNqdGKKd+5+uPJ4zos1gFCk6JLPosmZOaZm5ujt7sTd2RdPMR1OvxxKrizdtOshujs6mJmfL8yVpc0ZA3VLnWLRu3S66YNjUeDfYcZ85lb59yCvxW1Epd6uAnYDxOkXvwrc4e6ViCmZOMTdHw+WPYdoUpD9wC+5e/7XM5ogGameTBQyP++ViULSAXIZpAPk2bl5JuMSdWWfKESKKyqGbwTz0ywZnV4mycDcqeAjosyvR6TZwnkGTkzO0NvdyfHTM5WSYssFyFDcK0vp0o9Q8gA5HlidlWLRUaVKZxkjiduAe4Bbzez9RKXZ3kyUT31zat2vxfc7AcysH/gKsAl4H/CKVA3TPe6+p1EHnqfkJE7qII9PzjAzF3XAF3G2vJWkA+RTZxYiFuUgS6NEA+6KeVl0Lco0MFekiAb7FoLJsckZtg70su/IQlGEagEyFPPKUm93JxvXdVXmFujr7lxUvadsksnDTizqQU5SLJaPkPMepLdqcTrEy4kmBnkrUaD7FHClu6+UXrEZ2EH0ut8LfCJ1u6ZBh527yiC9yRncvZJ/DK3Rg5yUeIPFg6hE6qnoA+5Wq9Vej0izZc3s+sRTUf7x1v51NQ3kLaLNweDdWidEKqqFFIuFOOFfWrQHGXc/DrwxvlVbb2fq8X6Wm3S7xSUpFnPzzomp2Ur+cYctnWq2DAZTAyPC3CKlWEgjFfWy6Fq12usRaaaerqgu/6npuUoli33xAL2Veo+LbPOGHn589DQA55Z8ds2FFIuFOGEhQF4+JFQk0SbCPKnjp6YrAfLmjeuWzPhTBgs9yNE/fHIpCGorvSVyNop4WfRstNrrEWmmwb7uOECOUhiTAPnCc0ocIAepl2XOP4agzFvcg3xiaqbSqVatY7x0KRayNmEv8fHT00tqIJfNQFDmzd0rJd7WdXXQ06V/axERaY70ZCGt0IO8ZVGKRbnHJFTKvMXtc2hsYTKWaj3IiiTaRF93ZyVwHDs9k1kDuUySHuTpuXmmZuYr3wz7lX8sIiJNFE4WMj/vQYC8Mc/DOithp9q20qdYRO1zanqO2bn5ygC9ns6Oqjm3CpDbhJktTBYSpFiUPUCG6Ft7kmKhGsgiItJM4WQhh05McWY2qgxT5h7kzRsWYoO+ns4cj+TshQP3T56ZreQfnzdUPXVEAXIbSSpZLEqxaJUAOU6x0AA9ERFppuTzaGxyhn1xBYsOg6cNr8/zsM7KE08tlKp71+4fcvv9B3I8mrMTdpydmFwIkM8fqp46ogC5jVRKvZ2eKX0O8nI9yAqQRUSkmZKqSmOnpys1kHcMry/teJjRiSk+872RyuPpuXlu2vUQoxNTVbYqroEgXjgxNVNJsdiuAFkSmzbEKRanp0ufg9zd2cH6+LLP+OSMppkWEZFcDPUtDNJ7ogUG6EUzhi4OD5MZNsuof11XpVqFAmTJlPQgPzVxhmPxjHplDZBh8WQhSYCsWfRERKSZwhzkVqhg0WozhnZ0WOXq8onJWQ7GVSzOVw6yJJIA+fHRhdyiVgmQT8Yz6fUrxUJERJoorGJRqYFc4gC5FWfYTAbqHT89zeETUYC8Ug+yook2knzL3X/0VGVZmQPkgYweZJV5ExGRZko6a05MLYyH2VniABlab4bNJP3ysdGTzMW94ysN0lOA3EaSuobJlZN1XR2l7nEdDCYLqQzSU4qFiIg0UTJIzx3mPPqALXOKRaKVZthMOtT2Hj5RWaYcZKlIUiwS5/Svw6rNs1hwi1IsVOZNRERyMJT6bO3p6mB7yWefazVJisXeQxMAbN7QQ2939frOCpDbSJJikShzegWkBulpohAREcnBUN/iz9ZnbN5AR0d5O59a0UAcGxyNCxSs1HsMCpDbSjh1JJS3BnJicRWLZKppBcgiItI863s66QoC4lZIr2g1A6kvMdtXqGABCpDbSvoyUKv0IB87Nc3UTDS158Z1GqQnIiLNY2aLrtA+4xwFyEUzkOo8O39o5VkOFSC3kYHeLjqDb7lbWqQHOZk2EpSDLCIizRfO7qoe5OJJV7hSD7IsYmZsCr7ltkoP8vTsfGWZUixERKTZwiu0Za6B3KoG+tI9yMpBlpTwJC57gJzOKQIFyCIi0nzhQD19DhXPwJIeZAXIkjLcQgHyYEaAvEEpFiIi0mTjp6crP1/1oW9z+/0HcjwaSUt3qJ2/SQGypIQDCVqlikWit7uD7k79S4uISPOMTkzxgwPjlcdTs/PctOshRiemcjwqCYW9+j1dHWxOVfXKomiizaQnCymzdICsaaZFRKTZRo5N0pPqnOnu6GDk2OQyW0izhSkW5w/11TRJmgLkNhN+o33Jn/9jqS8D9XR10BfMhFPmabNFRKScdgz34fiiZTPz8+wY1mx6RRGmWNRSwQIUILeV0YkpvvXokcrjqZnyXwYKe5E3amCEiIg02db+Xt599XPp7e6gf10Xvd0dvPvq57K1v7ZATBovTLEYrvFKuiKKNjJybJJ1XR3MTs9VliWXgcp6Ig/2dXP4RBTgqwayiIjk4ZqLL+Cyi7YwcmySHcN9pf1MbVWff/Bg5ecvPXyY2+8/wDUXX1B1G0UUbWTHcB9z3lqXgQZVWkdERApga3+vAuMCGp2Y4qZdD1Uez847N+16iMsu2lJ1O6VYtJFWvAwU5hVpmmkREREJjRybpLtj9YMoS9nlZmZDwJ8CVwPrge8C/83dH6hh298Cfg14NtAPjABfBG5x9yPVtm0FrXYZSD3IIiIispwdw33MzM8vWlbL1fPS9SCbWQdRQPsa4IPAjcC5wDfN7Jk17OJi4IfAu4G3ALuA1wN3m1l5cw1WYWt/L89/+qbSB8egAFlERESWt9ar52WMKF4FXApc7e67AczsM8CPgD8Arq+2sbv/enqZmd0DfBZ4BXBbnY9XGmhRFQsN0hMREZGUtVw9L2NE8SrgIHBHssDdn4qD5NeaWbe7z6xynz+O74fqc4jSLIN9C//CKvMmIiIiWVY7iLKMEcXPAN93T5VjgHuBG4BnAY+stBMz20L0+p8F/AkwC/zjMuuOrbC7wZV+nzTG4Hr1IIuIiEh9lTGiOA/4esbyQ/H9dlYIkM1sI/BUsOgA8Fp3f7QuRyhNE6ZY+HyVFUVERERqlGuAHA+4q2lKE3dPpnvrA85krBI+v5JJ4CVAL/A84FeAgSq/e6jazuIeZvUi5+AHT45Vfr7xs3uYx1cs/i0iIiJSTd49yJcD36hlRTM7Jy7DNgmsy1glSSypXtgOcPc54M744RfM7E7gHjMbdfcv1HI8kr/RiSn++q4nKo+n5+Yrxb9boUKHiIiI5CPvAHkv8IYa152I7w8RpVmkJcsOZjxXlbt/18xGgGsBBcglMXJskp5OY3p2YVnZp84WERGR/OUaILv7YeBjq9zsAeBSM7PUQL1LgJPAY2s8nF6UJlEqO4b7mJ1vramzRUREJH+lmyiEqE7xduCqZEFckeJXgTvCEm9m9sxw8hAz6zWz/vQOzewq4Bzg+408cKmvVpw6W0RERPJnS6ulFZuZdQJ3A/8WeD9wBHgzsAN4vrs/Fqy7H8Ddd8aPdwI/AP6WqNLFDPB84Dqi1IyfXct002Y2Njg4ODg2NrbGVyVnY3RiqmWmzhYREZHmGBoaYnx8fDyrGEPeOcir5u5zZvZy4H3AW4mqVtwLXB8Gx8s4CnwKuJIo37gHGAH+F3DLWoJjyd9qi3+LiIiIVFO6HuQiUg+yiIiISLlU60EuYw6yiIiIiEjDKEAWEREREQkoQBYRERERCShAFhEREREJKEAWEREREQmoikUdmNk8YIODmohPREREpAzGx8cB3N2XdBgrQK4DM0v+iOO5Hkj9bIzvT+Z6FPWVfHtRGxVTq7UPqI2KrtXaB9RGRddq7QPlb6MBYN7dl8wLUrqJQgoq+QoylPNx1IWZfRPA3a/I90jqx8zGQG1UVK3WPqA2KrpWax9QGxVdq7UPtF4bhZSDLCIiIiISUIAsIiIiIhJQgCwiIiIiElCALCIiIiISUBWLOmjFxPtWozYqNrVP8amNik9tVGxqn3JRD7KIiIiISEABsoiIiIhIQCkWIiIiIiIB9SCLiIiIiAQUIIuIiIiIBBQgi4iIiIgEFCCLiIiIiAQUIIuIiIiIBNo6QDaz88zsvWb2DTObMDM3sysy1hs0s780s0NmNmVmD5rZ62rY/9/H+/xAxnPnm9knzeyImZ02s3vM7KV1eWEtpN5tZGY3x/tI3w5nrPtOM7vDzA7H69zckBdZYnm1j5kNm9nHzeyR+PeOm9l9ZnadmVnjXnH55HwOZa3nZvabjXm15ZTjefT6Km3kZnZt4151eeR8DilWyElX3geQs58Afgd4DNgDXJpewcy6gK8CzwM+FK/7C8CnzKzL3W/N2rGZvQK4fJnnhoC7gWHgL4B/BX4N+Hsze6m7f/3sXlZLaVQbvQk4HTyezFjnFqK2+QHwsrN4Da0sr/YZAC4EdgFPAp3Ai4FbgYuA31/7S2o5eZ5DAF8BPpla9t3VvIA2kFcb3QVcl7Hdb8e/52urexktK5f2UayQM3dv2xvQD2yOf34l4MAVqXVeHS+/PrX8NqJ/1p6M/fYAPyL6kHbgA6nnfydefnmwrAO4F3gg779LkW71biPg5njdoRp+9874fije5ua8/x5Fu+XZPsscz+eAE8Q13nXL/Rxa8v6nW7HaKONY+uJz6B/y/rsU5ZZX+6BYIddbW6dYuPuEux9dYbUXEv2Dfia1/NPAVuDKjG1+i+hN5v1V9nnI3e8KjmU+/h3PM7OfqOHw20ID28jMbKDa5Xh337+aY21HebbPMn4MbAC6V7ldyypCG5lZn5n11nTAbagIbRT4JaKA8FOr2Kal5dg+ihVy1NYBco3WAbPAdGp5clnk4nChmW0D3gXc5O6nybaO7MuRmfuUFa2qjWJPAuPAuJn9jZkNN/D42l3D2sfMes1si5ntNLPrgTcAd7t7+ndJdY08h94InAImzWyPmV1djwNuQ816n7uW6PPp9rUeaJtqRPsoVshRu+cg1+KfiXqjfg64J1j+8/H99tT674m3Sefcpff5IjO7wN0P1LBPqW41bXQc+GC83jTw74jywC42s0vc/UzjD7ftNLJ93hivn/ga8Pq6HXn7aFQbfQf4W2AfsIPo6trtZvY6d/+/jXghLazh73NxgPYyYLe7T9T38FteI9pHsUKe8s7xKMqN5fOKtgFjwF6iQUA7gRuIvvU58L+DdX8OmAMuC5Zl5SD/NNFJ8U/AC4gGG70DmIrX/728/x5FvNWjjZbZ75vj9f7TMs8PoRzkQrYPcEG8z9cAnwDuBJ6d99+iqLe8zqFgvQ1EwfIIyhMvXBvF+3Pgl/P+OxT11sz2QbFCrjelWKzA3Q8Dv0yUU/xVojf39wH/NV7lJESJRESjTD/r7nevsM89wOuIRtt/B3gceCvwtnCfUpta26iKvyK6ZPWiRh1jO2tk+7j7AXe/090/7e7XEQ2OvdPM+up1/O2gWeeQu5+K172AqDKA1KhJbXQtcAz40lkdbBtqRPsoVsiXUixq4O53mdmFwHOJekAeZOHSxqPx/dVEPcg3mdnO1C4G4mX/6u6T8T5vM7PPEZWE6QTuB65I7VNqVGMbLbftvJn9C1EpHWmAJrbPbcB/Jiqx+JW1H3H7aWIbjcT3Ot9WqZFtZGZPI7p0/2F3n6nfUbePRrSPYoX8KECukbvPAQ8kj83sxfGPSR3CpxENesyqS/iG+PaLwJeDfU4D96X2eQb4dh0PvW3U0EaZzKybKD/yvmrrydlpUvskPceDazjEttekNrowvn9qDYfY9hrYRq8FDFWvOCuNaB/FCvlQgLwGZnYOUX3Cr7j7I/HizwP7M1bfBXwB+CjRN7/l9nkR8JvAx9x9rJ7H246WaSPM7Bx3T38wvx3oRT2OTXO27bPMegD/kSg3b9lzTWpThzba4u5HUvvcTJRruc/d1ft1lur8Pvc6oqoKVVMEpXaN+BxSrNA8bR8gm9nvxT8+J76/zswuA8bc/UPxOncTvWk8RpSI/yai3uI3Jftx98eJ8oPS+wd43N13B8u6iC693Eb0hnQh0T/8k8Dv1u/VtYZ6tVHsx2b2aeBhom/gVwK/Em/7f1K/9zrg6URvWgCXB8fyQXcfr88rLLec2uctZvZK4ItEX0w3AdcAlwD/090fq+NLLL2c2ui/mNlVRB0ETwLnEw1a2ko00EkCeb3Pxfv9KaIBYe91j0aHyWJ5tI9ihZzlPUow7xtRb1PWbX+wzl8ATxD9Ix8m6g3evor9fyC1rIOo9NFIvM8ngT8DBvP+exTxVs82Aj4C/D9gIl73n4E/Avoy1v1mld+9M++/S1FuebQPUa7kruAcmiAaxPIbqDpCUdropUSDlQ4TjcQ/RvSF5oV5/z2KeMvrfS5e/z3x73pu3n+Hot5yOocUK+R4s7gRREREREQEzaQnIiIiIrKIAmQRERERkYACZBERERGRgAJkEREREZGAAmQRERERkYACZBERERGRgAJkEREREZGAAmQRkTZlZh8zMxXDFxFJafuppkVEWsUqg91nNOxARERKTjPpiYi0CDP7D6lFPw/cAHwY+FbquV1EU0B3uvtUEw5PRKQ01IMsItIi3P2T4WMz6yIKkP8p/VxgpuEHJiJSMspBFhFpU1k5yMkyM9sc/3zEzCbMbLeZbYvXucHMHjGzKTPba2ZXLbP/V5vZ3fH2p83su2b2qma8NhGRs6EAWUREsnwZGAR+H/gI8O+BXWb2duDtwMeB3wV6gNvMbFFOs5ndAnwamADeFa97Gvg7M3tLs16EiMhaKMVCRESy3OvulUDWzAB+Gzgf+Cl3PxEv/zrwIFEqxzviZRcD7wTe4+43Bfv8H2a2G3iPmd3q7hPNeCEiIqulHmQREcnygdTjZJDfrUlwDODue4ATwEXButcCDnzczLaEN+BzQD/wgoYduYjIWVIPsoiIZHki9fh4fL8vY93jwObg8XMAA/ZW2f+5az80EZHGUoAsIiJLuPvcMk8tt9xSPzvwi1XW/+EaD01EpOEUIIuISL09CrwMeNLdH8n7YEREVks5yCIiUm+fiO/fbWad6SfNTOkVIlJo6kEWEZG6cvf7zOxm4GbgATP7O+AgcB7wfODlROXhREQKSQGyiIjUnbv/oZl9D3gr8DZgAzAKPBwvExEpLHP3ldcSEREREWkTykEWEREREQkoQBYRERERCShAFhEREREJKEAWEREREQkoQBYRERERCShAFhEREREJKEAWEREREQkoQBYRERERCShAFhEREREJ/H80QrD8QpY9iQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot trend and time series\n",
    "fig, ax = plt.subplots(figsize=[10, 5])\n",
    "df.plot(y=\"y\", marker=\".\", legend=None, ax=ax)\n",
    "trend.plot(ax=ax)\n",
    "ax.legend([\"log y\", \"trend\"])\n",
    "ax.set_xlabel(\"Time\")\n",
    "ax.set_ylabel(\"log Air passengers (1000s)\")\n",
    "ax.set_title(\"log Air passenger numbers\")\n",
    "plt.tight_layout()\n",
    "\n",
    "# Plot de-trended time series\n",
    "fig, ax = plt.subplots(figsize=[10, 5])\n",
    "df.plot(y=\"y_detrended\", marker=\".\", legend=None, ax=ax)\n",
    "ax.legend([\"y detrended\"])\n",
    "ax.set_xlabel(\"Time\")\n",
    "ax.set_ylabel(\"y_detrended\")\n",
    "ax.set_title(\"log Air passenger numbers - de-trended\")\n",
    "plt.tight_layout()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dd53eedd-5e9e-4792-ab0e-ae3f5c81a027",
   "metadata": {},
   "source": [
    "This will be a lot easier for a tree-based model to handle because the values that the tree needs to predict lie within the range of y values seen in the plot."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "73e74542-e6e3-40e8-9cce-cd7fa5734b05",
   "metadata": {},
   "source": [
    "After forecasting the de-trended time series we will add back the `trend`. "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7b92e7bc",
   "metadata": {},
   "source": [
    "sktime has a convenient transformer that allows us to de-trend and add the trend back called `Detrender`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "17012af2",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sktime.transformations.series.detrend import Detrender"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a8215b6a",
   "metadata": {},
   "source": [
    "We can pass any forecasting method, such as `PolynomialTrendForecaster` to de-trend our time series."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "a5c17f2e",
   "metadata": {},
   "outputs": [],
   "source": [
    "detrender = Detrender(forecaster=PolynomialTrendForecaster(degree=1))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b4166248-2eaa-4b50-9358-29de8a847586",
   "metadata": {},
   "source": [
    "Note: the default value for for `forecaster` in `Dentrender` is `PolynomialTrendForecaster(degree=1)`. So we could also just write `detrender = Detrender()` above if we wanted to."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "c1520b89",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Fit our de-trender on any segment of historical data\n",
    "detrender.fit(df.loc[:\"1955-01-01\", [\"y\"]])  # Fits the polynomial trend forecaster\n",
    "                                           # to the data.\n",
    "\n",
    "# De-trend time series from any time period with our de-trender\n",
    "y_detrended = detrender.transform(df.loc[\"1955-02-01\":, [\"y\"]])  # Calculates trend\n",
    "                                                            # over the time range\n",
    "                                                            # of the input dataframe\n",
    "                                                            # and subtracts it\n",
    "                                                            # from the input.\n",
    "\n",
    "# Add trend back to our time series from any time period\n",
    "y_w_trend = detrender.inverse_transform(y_detrended)  # Calculates trend\n",
    "                                                    # over the time range\n",
    "                                                    # of the input dataframe\n",
    "                                                    # and adds it back\n",
    "                                                    # to the input."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "4edc00fc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Sanity check that adding the trend back recovered\n",
    "# our original time series.\n",
    "all(df.loc[\"1955-02-01\":, [\"y\"]] == y_w_trend)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1e1dc1e9",
   "metadata": {},
   "source": [
    "So with `PolynomialTrendForecaster` and `Detrender` we have a way of fitting a trend to the time series the past and the future. `Detrender` gives us a transformer that allows us to fit the trend and then de-trend the training data via `fit` and `transform`; we can then add the trend back to our de-trended forecasts via `inverse_transform`."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "568307e4-4316-427b-8d97-79dd783e52cc",
   "metadata": {},
   "source": [
    "We can do both the log transform and detrending in a single pipeline."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "a138b82d-47fd-44e9-b929-58b334e5f219",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.pipeline import make_pipeline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "6640fede-2a49-450f-adbc-3cefbed7ea08",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Make a pipeline of transformations\n",
    "# to the target variable\n",
    "target_trafo = make_pipeline(\n",
    "    log_trafo, # First apply log transform.\n",
    "    detrender, # Then de-trend the time series.\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "4b9c2924-0af3-40a7-868d-7afab3f4185d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>y</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ds</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1949-01-01</th>\n",
       "      <td>112</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1949-02-01</th>\n",
       "      <td>118</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1949-03-01</th>\n",
       "      <td>132</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1949-04-01</th>\n",
       "      <td>129</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1949-05-01</th>\n",
       "      <td>121</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              y\n",
       "ds             \n",
       "1949-01-01  112\n",
       "1949-02-01  118\n",
       "1949-03-01  132\n",
       "1949-04-01  129\n",
       "1949-05-01  121"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Create a copy of the data\n",
    "df = data.copy().asfreq(\"MS\")\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "92c5ea7b-cdc5-4aa4-8584-89c1ee391398",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Fit our target transformer on historical data.\n",
    "target_trafo.fit(df.loc[:\"1955-01-01\", [\"y\"]])\n",
    "\n",
    "# Apply log and de-trend time series from any time period with our transformer\n",
    "y_transformed = target_trafo.transform(df.loc[\"1955-02-01\":, [\"y\"]])\n",
    "\n",
    "# Add trend back and apply inverse log to our time series.\n",
    "y_inv_transformed = target_trafo.inverse_transform(y_transformed)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "7c374674-c0e1-4952-9d2a-b80c2662bba6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot transformed time series\n",
    "fig, ax = plt.subplots(figsize=[10, 5])\n",
    "y_transformed.plot(marker=\".\", legend=None, ax=ax)\n",
    "ax.legend([\"y_transformed\"])\n",
    "ax.set_xlabel(\"Time\")\n",
    "ax.set_ylabel(\"y_transformed\")\n",
    "ax.set_title(\"log Air passenger numbers - de-trended\")\n",
    "plt.tight_layout()\n",
    "\n",
    "# Plot original series and inverse transformed series\n",
    "fig, ax = plt.subplots(figsize=[10, 5])\n",
    "df.loc[\"1955-02-01\":, \"y\"].plot(ax=ax)\n",
    "y_inv_transformed.plot(marker=\".\", linestyle=\"none\", color=\"r\", ax=ax)\n",
    "ax.legend([\"y\", \"inverse_transformed_series\"])\n",
    "ax.set_xlabel(\"Time\")\n",
    "ax.set_ylabel(\"y\")\n",
    "ax.set_title(\"Air passenger numbers\")\n",
    "plt.tight_layout()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1b3691b8-fccb-4eea-977b-43ae8b8abf92",
   "metadata": {},
   "source": [
    "As you can see the pipeline does exactly what we want - it can apply our transforms (log, de-trend) and then invert them on future data (add trend, invert log)."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9429db39-9078-4ec2-9768-f8560b2dbfcc",
   "metadata": {},
   "source": [
    " Let's move onto forecasting with tree based models."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9d20fba2-1d7b-472c-a73a-d67e55173bb7",
   "metadata": {},
   "source": [
    "# Let's build some forecasts with tree based models!"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0d2905c9-a68e-4085-ba43-dfe19c8ac3e1",
   "metadata": {},
   "source": [
    " Let's build a recursive forecast and see how we can add de-trending and re-trending to our workflow."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "738606c1-df44-4f9f-b4d7-4e5a1f22d234",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Let's ensure all sklearn transformers output pandas dataframes\n",
    "from sklearn import set_config\n",
    "from sklearn.base import clone\n",
    "from sklearn.pipeline import make_pipeline, make_union\n",
    "from sklearn.preprocessing import PolynomialFeatures\n",
    "from sktime.transformations.series.summarize import WindowSummarizer\n",
    "from sktime.transformations.series.time_since import TimeSince\n",
    "from sktime.transformations.series.detrend import Detrender\n",
    "\n",
    "# Import models\n",
    "from sklearn.ensemble import HistGradientBoostingRegressor\n",
    "from sklearn.tree import DecisionTreeRegressor\n",
    "\n",
    "set_config(transform_output=\"pandas\")  # Upgrade to scikit-learn 0.12\n",
    "                                       # for this feature"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "130d5c18-2870-4a1a-89af-c09bdff6b775",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>y</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ds</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1949-01-01</th>\n",
       "      <td>112</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1949-02-01</th>\n",
       "      <td>118</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1949-03-01</th>\n",
       "      <td>132</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1949-04-01</th>\n",
       "      <td>129</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1949-05-01</th>\n",
       "      <td>121</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              y\n",
       "ds             \n",
       "1949-01-01  112\n",
       "1949-02-01  118\n",
       "1949-03-01  132\n",
       "1949-04-01  129\n",
       "1949-05-01  121"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Create a copy of the data\n",
    "df = data.copy().asfreq(\"MS\")\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "a1deeb36-bfa1-4fb2-b646-d2533d7a3629",
   "metadata": {},
   "outputs": [],
   "source": [
    "target = [\"y\"]  # Note: it's in a list.\n",
    "                # This ensures we'll get\n",
    "                # a dataframe when using df.loc[:, target]\n",
    "                # rather than a pandas Series.\n",
    "                # This can also be useful if we have\n",
    "                # multiple targets."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3dac1165-9d17-4648-b7ed-927ed660de3d",
   "metadata": {},
   "source": [
    "Prepare our transformers. "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3bf5401e-5b79-48ff-b26c-f53339502ec0",
   "metadata": {},
   "source": [
    "Let's start with the transformations to the target variable that we want to do before hand (apply log, de-trend) and then invert the transformations at the end (add the trend back, take inverse log)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "bcd96f2d-ff00-4b64-8d77-0aa25fb1cef3",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Log transformer\n",
    "log_trafo = LogTransformer()\n",
    "\n",
    "# Detrender\n",
    "detrender = Detrender()\n",
    "\n",
    "# Make a pipeline of transformations\n",
    "# to the target variable\n",
    "target_trafo = make_pipeline(\n",
    "    log_trafo,\n",
    "    detrender,\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b165cd06-6f61-41d9-b73c-8b62d6438a15",
   "metadata": {},
   "source": [
    "We will still build the time feature. This is because it would still allow a tree based model to segment over time and isolate changepoints, outliers, and other interesting periods during training."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "3eb59ff9-4c53-4f12-9f56-4232a5c8fb6d",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Prepare time feature transformer.\n",
    "time_feats = TimeSince()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bd656bab-fc1d-4ad8-a4ce-35aa7923d615",
   "metadata": {},
   "source": [
    "Create lag and window features transformer."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "7b226689-f0ab-4ae1-beb1-80da03a47614",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Features computed from the target.\n",
    "# Compute lag and window features.\n",
    "lag_window_feats = WindowSummarizer(\n",
    "    lag_feature={\n",
    "        \"lag\": [1, 2, 3, 12],  # Lag features.\n",
    "        \"mean\": [[1, 12]],  # [[lag, window size]]\n",
    "    },\n",
    "    target_cols=target,\n",
    "    truncate=\"bfill\",  # Backfill missing values from lagging and windowing.\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9b207c96-356c-4d03-bcab-3fd490df4e4b",
   "metadata": {},
   "source": [
    "Create a pipeline to create all our features from the de-trended time series."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "eab3ec4f-527f-435a-84ba-ab77082a3598",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Create features derived independent of one another\n",
    "pipeline = make_union(time_feats, lag_window_feats)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4a36b38e-f9b3-4273-8f0c-1ff69df42c40",
   "metadata": {},
   "source": [
    "Let's check how our feature engineering pipeline behaves."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "c082002f-37ba-4b85-bc53-cfdd6062dac2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>time_since_1949-01-01 00:00:00</th>\n",
       "      <th>y_lag_1</th>\n",
       "      <th>y_lag_2</th>\n",
       "      <th>y_lag_3</th>\n",
       "      <th>y_lag_12</th>\n",
       "      <th>y_mean_1_12</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ds</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1949-01-01</th>\n",
       "      <td>0</td>\n",
       "      <td>112.0</td>\n",
       "      <td>112.0</td>\n",
       "      <td>112.0</td>\n",
       "      <td>112.0</td>\n",
       "      <td>126.166667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1949-02-01</th>\n",
       "      <td>1</td>\n",
       "      <td>112.0</td>\n",
       "      <td>112.0</td>\n",
       "      <td>112.0</td>\n",
       "      <td>112.0</td>\n",
       "      <td>126.166667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1949-03-01</th>\n",
       "      <td>2</td>\n",
       "      <td>118.0</td>\n",
       "      <td>112.0</td>\n",
       "      <td>112.0</td>\n",
       "      <td>112.0</td>\n",
       "      <td>126.166667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1949-04-01</th>\n",
       "      <td>3</td>\n",
       "      <td>132.0</td>\n",
       "      <td>118.0</td>\n",
       "      <td>112.0</td>\n",
       "      <td>112.0</td>\n",
       "      <td>126.166667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1949-05-01</th>\n",
       "      <td>4</td>\n",
       "      <td>129.0</td>\n",
       "      <td>132.0</td>\n",
       "      <td>118.0</td>\n",
       "      <td>112.0</td>\n",
       "      <td>126.166667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1960-08-01</th>\n",
       "      <td>139</td>\n",
       "      <td>622.0</td>\n",
       "      <td>535.0</td>\n",
       "      <td>472.0</td>\n",
       "      <td>559.0</td>\n",
       "      <td>459.416667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1960-09-01</th>\n",
       "      <td>140</td>\n",
       "      <td>606.0</td>\n",
       "      <td>622.0</td>\n",
       "      <td>535.0</td>\n",
       "      <td>463.0</td>\n",
       "      <td>463.333333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1960-10-01</th>\n",
       "      <td>141</td>\n",
       "      <td>508.0</td>\n",
       "      <td>606.0</td>\n",
       "      <td>622.0</td>\n",
       "      <td>407.0</td>\n",
       "      <td>467.083333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1960-11-01</th>\n",
       "      <td>142</td>\n",
       "      <td>461.0</td>\n",
       "      <td>508.0</td>\n",
       "      <td>606.0</td>\n",
       "      <td>362.0</td>\n",
       "      <td>471.583333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1960-12-01</th>\n",
       "      <td>143</td>\n",
       "      <td>390.0</td>\n",
       "      <td>461.0</td>\n",
       "      <td>508.0</td>\n",
       "      <td>405.0</td>\n",
       "      <td>473.916667</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>144 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            time_since_1949-01-01 00:00:00  y_lag_1  y_lag_2  y_lag_3  \\\n",
       "ds                                                                      \n",
       "1949-01-01                               0    112.0    112.0    112.0   \n",
       "1949-02-01                               1    112.0    112.0    112.0   \n",
       "1949-03-01                               2    118.0    112.0    112.0   \n",
       "1949-04-01                               3    132.0    118.0    112.0   \n",
       "1949-05-01                               4    129.0    132.0    118.0   \n",
       "...                                    ...      ...      ...      ...   \n",
       "1960-08-01                             139    622.0    535.0    472.0   \n",
       "1960-09-01                             140    606.0    622.0    535.0   \n",
       "1960-10-01                             141    508.0    606.0    622.0   \n",
       "1960-11-01                             142    461.0    508.0    606.0   \n",
       "1960-12-01                             143    390.0    461.0    508.0   \n",
       "\n",
       "            y_lag_12  y_mean_1_12  \n",
       "ds                                 \n",
       "1949-01-01     112.0   126.166667  \n",
       "1949-02-01     112.0   126.166667  \n",
       "1949-03-01     112.0   126.166667  \n",
       "1949-04-01     112.0   126.166667  \n",
       "1949-05-01     112.0   126.166667  \n",
       "...              ...          ...  \n",
       "1960-08-01     559.0   459.416667  \n",
       "1960-09-01     463.0   463.333333  \n",
       "1960-10-01     407.0   467.083333  \n",
       "1960-11-01     362.0   471.583333  \n",
       "1960-12-01     405.0   473.916667  \n",
       "\n",
       "[144 rows x 6 columns]"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pipeline.fit_transform(df)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "66a1bca2-c242-4586-8935-afe37b10d98d",
   "metadata": {},
   "source": [
    "Let's reset our feature engineering pipeline."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "3f6e2875-ba69-4dfd-8734-ca707f2676cd",
   "metadata": {},
   "outputs": [],
   "source": [
    "# We can use `clone` to return an unfitted version\n",
    "# of the pipeline.\n",
    "pipeline = clone(pipeline)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d9445dbf-0c67-4e52-9df7-ffc5ff178ef6",
   "metadata": {},
   "source": [
    "Let's build a recursive forecast."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "4c3d68e5-1831-4868-a3a1-4165433cb104",
   "metadata": {},
   "outputs": [],
   "source": [
    "# --- CONFIG --- #\n",
    "# Define time of first forecast, this determines our train / test split\n",
    "forecast_start_time = pd.to_datetime(\"1958-01-01\")\n",
    "\n",
    "# Define number of steps to forecast.\n",
    "num_of_forecast_steps = 36\n",
    "\n",
    "# Define the model.\n",
    "model = DecisionTreeRegressor()\n",
    "\n",
    "# Create a list of periods that we'll forecast over.\n",
    "forecast_horizon = pd.date_range(\n",
    "    forecast_start_time, periods=num_of_forecast_steps, freq=\"MS\"\n",
    ")\n",
    "\n",
    "# How much data in the past is needed to create our features\n",
    "look_back_window_size = pd.DateOffset(months=12)  # We need the latest 12 time periods\n",
    "                                                  # in our predict dataframe to build our\n",
    "                                                  # window features.\n",
    "\n",
    "# --- CREATE TRAINING & TESTING DATAFRAME  --- #\n",
    "# Ensure we only have training data up to the start\n",
    "# of the forecast.\n",
    "df_train = df.loc[df.index < forecast_start_time].copy()\n",
    "df_test = df.loc[df.index >= forecast_start_time].copy()\n",
    "\n",
    "# --- !NEW CODE BLOCK! ---#\n",
    "# --- TRAIN DETRENDER AND DETREND ---#\n",
    "df_train[target] = target_trafo.fit_transform(df_train[target])\n",
    "df_test[target] = target_trafo.transform(df_test[target])\n",
    "\n",
    "# --- FEATURE ENGINEERING--- #\n",
    "# Create X_train and y_train\n",
    "y_train = df_train[target]\n",
    "X_train = pipeline.fit_transform(df_train)\n",
    "\n",
    "# --- MODEL TRAINING---#\n",
    "# Train one-step ahead forecast model\n",
    "model.fit(X_train, y_train)\n",
    "\n",
    "# --- CREATE DYNAMIC PREDICTION DATAFRAME  --- #\n",
    "# We will recursively append our forecasts to this\n",
    "# dataframe and re-compute our lag and window features from the\n",
    "# target in this dataframe. It contains data in both the training period\n",
    "# and forecast period which is needed for some transformers (e.g., lags and windows).\n",
    "look_back_start_time = forecast_start_time - look_back_window_size\n",
    "\n",
    "# Create `df_predict` which has data going as far back\n",
    "# as needed to create features which need past values.\n",
    "df_predict = df_train.loc[look_back_start_time:].copy()\n",
    "\n",
    "# Extend index into forecast horizon\n",
    "df_predict = pd.concat([df_predict, pd.DataFrame(index=forecast_horizon)])\n",
    "\n",
    "# Set the target variable at the forecast start time\n",
    "# and beyond.\n",
    "df_predict.loc[forecast_start_time:, target] = np.NaN\n",
    "\n",
    "# --- RECURSIVE FORECASTING LOOP --- #\n",
    "for forecast_time in forecast_horizon:\n",
    "    # Compute features during the forecast horizon\n",
    "    X_test = pipeline.transform(df_predict)\n",
    "    X_test_ = X_test.loc[[forecast_time]]\n",
    "\n",
    "    # Predict one step ahead.\n",
    "    y_pred = model.predict(X_test_)\n",
    "\n",
    "    # Append forecast to the target variable columnn in our\n",
    "    # dynamic forecast dataframe `df_forecast`. This `df_forecast`\n",
    "    # is ready for the next iteration where we will re-compute\n",
    "    # features derived from the target such as lags and windows.\n",
    "    df_predict.loc[[forecast_time], target] = y_pred\n",
    "\n",
    "# --- GET FORECAST AND TEST VALUES --- #\n",
    "y_forecast = df_predict.loc[forecast_horizon, target]\n",
    "y_test = df_test.loc[forecast_start_time:, target]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "ba7cf2bb-1217-4ede-ba41-6ae2c9b97593",
   "metadata": {},
   "outputs": [],
   "source": [
    "# --- CREATE IN-SAMPLE PREDICTIONS--- #\n",
    "y_forecast_train = model.predict(X_train)\n",
    "y_forecast_train = pd.DataFrame(y_forecast_train, index=X_train.index, columns=target)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "e8628d13-278c-42c2-85ce-0d0e8f0c97cb",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "# --- ADD TREND BACK AND APPLY INVERSE LOG TRANSFORM --- #\n",
    "y_train_w_trend = target_trafo.inverse_transform(y_train)\n",
    "y_test_w_trend = target_trafo.inverse_transform(y_test)\n",
    "y_forecast_train_w_trend = target_trafo.inverse_transform(y_forecast_train)\n",
    "y_forecast_w_trend = target_trafo.inverse_transform(y_forecast)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "4ce0046e-d7a6-4911-92a6-c4f807d67634",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# --- PLOTTING LOG Y-DETRENDED--- #\n",
    "# Plot the forecast.\n",
    "fig, ax = plt.subplots(figsize=[10, 5])\n",
    "# Plot training set.\n",
    "y_train.loc[:forecast_start_time].plot(ax=ax, marker=\".\")\n",
    "# Plot actuals in forecasting horizon.\n",
    "y_test.plot(ax=ax, marker=\".\", alpha=0.6)\n",
    "# Plot forecast.\n",
    "y_forecast.plot(ax=ax)\n",
    "# Plot 1 step forecasts in training data.\n",
    "y_forecast_train.plot(ax=ax)\n",
    "\n",
    "ax.legend([\"train\", \"test\", \"forecast\", \"in-sample forecast\"])\n",
    "ax.set_xlabel(\"Time\")\n",
    "ax.set_ylabel(\"Air passengers (1000s)\")\n",
    "ax.set_title(\"Air passenger numbers\")\n",
    "plt.tight_layout()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "07eb5061-676a-4a73-806d-29c5b98e6c12",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# --- PLOTTING Y--- #\n",
    "\n",
    "# Plot the forecast.\n",
    "fig, ax = plt.subplots(figsize=[10, 5])\n",
    "# Plot training set.\n",
    "y_train_w_trend.loc[:forecast_start_time].plot(ax=ax, marker=\".\")\n",
    "# Plot actuals in forecasting horizon.\n",
    "y_test_w_trend.plot(ax=ax, marker=\".\", alpha=0.6)\n",
    "# Plot forecast.\n",
    "y_forecast_w_trend.plot(ax=ax)\n",
    "# Plot 1 step forecasts in training data.\n",
    "y_forecast_train_w_trend.plot(ax=ax)\n",
    "\n",
    "ax.legend([\"train\", \"test\", \"forecast\", \"in-sample forecast\"])\n",
    "ax.set_xlabel(\"Time\")\n",
    "ax.set_ylabel(\"Air passengers (1000s)\")\n",
    "ax.set_title(\"Air passenger numbers\")\n",
    "plt.tight_layout()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b329343e-5055-4a8a-903d-4ec0252239a4",
   "metadata": {},
   "source": [
    "Let's compute the RMSE of this forecast."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "ca4d4411-a247-47cd-882c-bd67833b69f0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "57.27252742098575"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Compute error metrics.\n",
    "from sklearn.metrics import mean_squared_error\n",
    "\n",
    "mean_squared_error(\n",
    "    y_test_w_trend.loc[y_forecast.index], \n",
    "    y_forecast_w_trend, \n",
    "    squared=False\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "705f9886-3682-40b9-a828-fe0dedafc232",
   "metadata": {},
   "source": [
    "We can now do recursive forecasting for tree-based models and adjusting for the trend!"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2d649f5f-cfbb-43b8-83d1-b168514acb9b",
   "metadata": {},
   "source": [
    "Feel free to change the dates, try different models, and different features!"
   ]
  }
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